id	sid	tid	token	lemma	pos
bracis-28404	1	1	genetic	genetic	ADJ
bracis-28404	1	2	algorithms	algorithm	NOUN
bracis-28404	1	3	with	with	ADP
bracis-28404	1	4	optimality	optimality	NOUN
bracis-28404	1	5	cuts	cut	NOUN
bracis-28404	1	6	to	to	ADP
bracis-28404	1	7	the	the	DET
bracis-28404	1	8	max	max	PROPN
bracis-28404	1	9	-	-	PUNCT
bracis-28404	1	10	cut	cut	VERB
bracis-28404	1	11	problem	problem	NOUN
bracis-28404	1	12	|	|	NOUN
bracis-28404	1	13	springer	springer	NOUN
bracis-28404	1	14	nature	nature	PROPN
bracis-28404	1	15	link	link	PROPN
bracis-28404	1	16	(	(	PUNCT
bracis-28404	1	17	formerly	formerly	ADV
bracis-28404	1	18	springerlink	springerlink	NOUN
bracis-28404	1	19	)	)	PUNCT
bracis-28404	1	20	skip	skip	VERB
bracis-28404	1	21	to	to	ADP
bracis-28404	1	22	main	main	ADJ
bracis-28404	1	23	content	content	NOUN
bracis-28404	1	24	advertisement	advertisement	NOUN
bracis-28404	1	25	log	log	NOUN
bracis-28404	1	26	in	in	ADP
bracis-28404	1	27	menu	menu	NOUN
bracis-28404	1	28	find	find	VERB
bracis-28404	1	29	a	a	DET
bracis-28404	1	30	journal	journal	NOUN
bracis-28404	1	31	publish	publish	VERB
bracis-28404	1	32	with	with	ADP
bracis-28404	1	33	us	we	PRON
bracis-28404	1	34	track	track	VERB
bracis-28404	1	35	your	your	PRON
bracis-28404	1	36	research	research	NOUN
bracis-28404	1	37	search	search	NOUN
bracis-28404	1	38	cart	cart	NOUN
bracis-28404	1	39	home	home	NOUN
bracis-28404	1	40	intelligent	intelligent	ADJ
bracis-28404	1	41	systems	system	NOUN
bracis-28404	1	42	conference	conference	NOUN
bracis-28404	1	43	paper	paper	NOUN
bracis-28404	1	44	genetic	genetic	ADJ
bracis-28404	1	45	algorithms	algorithm	NOUN
bracis-28404	1	46	with	with	ADP
bracis-28404	1	47	optimality	optimality	NOUN
bracis-28404	1	48	cuts	cut	NOUN
bracis-28404	1	49	to	to	ADP
bracis-28404	1	50	the	the	DET
bracis-28404	1	51	max	max	PROPN
bracis-28404	1	52	-	-	PUNCT
bracis-28404	1	53	cut	cut	VERB
bracis-28404	1	54	problem	problem	NOUN
bracis-28404	1	55	conference	conference	NOUN
bracis-28404	1	56	paper	paper	NOUN
bracis-28404	1	57	first	first	ADV
bracis-28404	1	58	online	online	ADV
bracis-28404	1	59	:	:	PUNCT
bracis-28404	1	60	12	12	NUM
bracis-28404	1	61	october	october	NOUN
bracis-28404	1	62	2023	2023	NUM
bracis-28404	1	63	pp	pp	ADP
bracis-28404	1	64	17–32	17–32	NUM
bracis-28404	1	65	cite	cite	VERB
bracis-28404	1	66	this	this	DET
bracis-28404	1	67	conference	conference	NOUN
bracis-28404	1	68	paper	paper	NOUN
bracis-28404	1	69	access	access	NOUN
bracis-28404	1	70	provided	provide	VERB
bracis-28404	1	71	by	by	ADP
bracis-28404	1	72	university	university	PROPN
bracis-28404	1	73	of	of	ADP
bracis-28404	1	74	notre	notre	PROPN
bracis-28404	1	75	dame	dame	PROPN
bracis-28404	1	76	hesburgh	hesburgh	PROPN
bracis-28404	1	77	library	library	PROPN
bracis-28404	1	78	download	download	PROPN
bracis-28404	1	79	book	book	NOUN
bracis-28404	1	80	pdf	pdf	PROPN
bracis-28404	1	81	download	download	NOUN
bracis-28404	1	82	book	book	NOUN
bracis-28404	1	83	epub	epub	PROPN
bracis-28404	1	84	intelligent	intelligent	ADJ
bracis-28404	1	85	systems	system	NOUN
bracis-28404	1	86	(	(	PUNCT
bracis-28404	1	87	bracis	bracis	NOUN
bracis-28404	1	88	2023	2023	NUM
bracis-28404	1	89	)	)	PUNCT
bracis-28404	1	90	genetic	genetic	ADJ
bracis-28404	1	91	algorithms	algorithm	NOUN
bracis-28404	1	92	with	with	ADP
bracis-28404	1	93	optimality	optimality	NOUN
bracis-28404	1	94	cuts	cut	NOUN
bracis-28404	1	95	to	to	ADP
bracis-28404	1	96	the	the	DET
bracis-28404	1	97	max	max	PROPN
bracis-28404	1	98	-	-	PUNCT
bracis-28404	1	99	cut	cut	VERB
bracis-28404	1	100	problem	problem	NOUN
bracis-28404	1	101	download	download	NOUN
bracis-28404	1	102	book	book	NOUN
bracis-28404	1	103	pdf	pdf	PROPN
bracis-28404	1	104	download	download	NOUN
bracis-28404	1	105	book	book	PROPN
bracis-28404	1	106	epub	epub	PROPN
bracis-28404	1	107	pablo	pablo	PROPN
bracis-28404	1	108	luiz	luiz	PROPN
bracis-28404	1	109	braga	braga	PROPN
bracis-28404	1	110	soares9	soares9	PROPN
bracis-28404	1	111	&	&	CCONJ
bracis-28404	1	112	carlos	carlos	PROPN
bracis-28404	1	113	victor	victor	PROPN
bracis-28404	1	114	dantas	dantas	PROPN
bracis-28404	1	115	araújo10	araújo10	VERB
bracis-28404	1	116	  	  	SPACE
bracis-28404	1	117	part	part	NOUN
bracis-28404	1	118	of	of	ADP
bracis-28404	1	119	the	the	DET
bracis-28404	1	120	book	book	NOUN
bracis-28404	1	121	series	series	NOUN
bracis-28404	1	122	:	:	PUNCT
bracis-28404	1	123	lecture	lecture	NOUN
bracis-28404	1	124	notes	note	NOUN
bracis-28404	1	125	in	in	ADP
bracis-28404	1	126	computer	computer	NOUN
bracis-28404	1	127	science	science	NOUN
bracis-28404	1	128	(	(	PUNCT
bracis-28404	1	129	(	(	PUNCT
bracis-28404	1	130	lnai	lnai	ADJ
bracis-28404	1	131	,	,	PUNCT
bracis-28404	1	132	volume	volume	NOUN
bracis-28404	1	133	14197	14197	NUM
bracis-28404	1	134	)	)	PUNCT
bracis-28404	1	135	)	)	PUNCT
bracis-28404	1	136	included	include	VERB
bracis-28404	1	137	in	in	ADP
bracis-28404	1	138	the	the	DET
bracis-28404	1	139	following	follow	VERB
bracis-28404	1	140	conference	conference	NOUN
bracis-28404	1	141	series	series	NOUN
bracis-28404	1	142	:	:	PUNCT
bracis-28404	1	143	brazilian	brazilian	ADJ
bracis-28404	1	144	conference	conference	NOUN
bracis-28404	1	145	on	on	ADP
bracis-28404	1	146	intelligent	intelligent	ADJ
bracis-28404	1	147	systems	system	NOUN
bracis-28404	1	148	575	575	NUM
bracis-28404	1	149	accesses	access	NOUN
bracis-28404	1	150	2	2	NUM
bracis-28404	1	151	citations	citation	NOUN
bracis-28404	1	152	abstract	abstract	ADP
bracis-28404	1	153	the	the	DET
bracis-28404	1	154	max	max	PROPN
bracis-28404	1	155	-	-	PUNCT
bracis-28404	1	156	cut	cut	VERB
bracis-28404	1	157	problem	problem	NOUN
bracis-28404	1	158	involves	involve	VERB
bracis-28404	1	159	dividing	divide	VERB
bracis-28404	1	160	a	a	DET
bracis-28404	1	161	set	set	NOUN
bracis-28404	1	162	of	of	ADP
bracis-28404	1	163	n	n	NOUN
bracis-28404	1	164	vertices	vertex	NOUN
bracis-28404	1	165	in	in	ADP
bracis-28404	1	166	a	a	DET
bracis-28404	1	167	weighted	weight	VERB
bracis-28404	1	168	graph	graph	NOUN
bracis-28404	1	169	\(g	\(g	NOUN
bracis-28404	1	170	=	=	SYM
bracis-28404	1	171	(	(	PUNCT
bracis-28404	1	172	v	v	NOUN
bracis-28404	1	173	,	,	PUNCT
bracis-28404	1	174	e)\	e)\	NOUN
bracis-28404	1	175	)	)	PUNCT
bracis-28404	1	176	into	into	ADP
bracis-28404	1	177	two	two	NUM
bracis-28404	1	178	subsets	subset	NOUN
bracis-28404	1	179	\((s	\((s	VERB
bracis-28404	1	180	,	,	PUNCT
bracis-28404	1	181	\bar{s})\	\bar{s})\	NOUN
bracis-28404	1	182	)	)	PUNCT
bracis-28404	1	183	in	in	ADP
bracis-28404	1	184	such	such	DET
bracis-28404	1	185	a	a	DET
bracis-28404	1	186	way	way	NOUN
bracis-28404	1	187	that	that	PRON
bracis-28404	1	188	the	the	DET
bracis-28404	1	189	sum	sum	NOUN
bracis-28404	1	190	of	of	ADP
bracis-28404	1	191	the	the	DET
bracis-28404	1	192	weights	weight	NOUN
bracis-28404	1	193	between	between	ADP
bracis-28404	1	194	the	the	DET
bracis-28404	1	195	subsets	subset	NOUN
bracis-28404	1	196	is	be	AUX
bracis-28404	1	197	maximized	maximize	VERB
bracis-28404	1	198	.	.	PUNCT
bracis-28404	2	1	this	this	DET
bracis-28404	2	2	research	research	NOUN
bracis-28404	2	3	introduces	introduce	VERB
bracis-28404	2	4	two	two	NUM
bracis-28404	2	5	heuristic	heuristic	ADJ
bracis-28404	2	6	methods	method	NOUN
bracis-28404	2	7	that	that	PRON
bracis-28404	2	8	combine	combine	VERB
bracis-28404	2	9	genetic	genetic	ADJ
bracis-28404	2	10	algorithm	algorithm	NOUN
bracis-28404	2	11	,	,	PUNCT
bracis-28404	2	12	tabu	tabu	NOUN
bracis-28404	2	13	search	search	NOUN
bracis-28404	2	14	,	,	PUNCT
bracis-28404	2	15	and	and	CCONJ
bracis-28404	2	16	a	a	DET
bracis-28404	2	17	set	set	NOUN
bracis-28404	2	18	of	of	ADP
bracis-28404	2	19	optimality	optimality	NOUN
bracis-28404	2	20	cuts	cut	NOUN
bracis-28404	2	21	,	,	PUNCT
bracis-28404	2	22	which	which	PRON
bracis-28404	2	23	are	be	AUX
bracis-28404	2	24	also	also	ADV
bracis-28404	2	25	proven	prove	VERB
bracis-28404	2	26	in	in	ADP
bracis-28404	2	27	this	this	DET
bracis-28404	2	28	work	work	NOUN
bracis-28404	2	29	.	.	PUNCT
bracis-28404	3	1	to	to	ADP
bracis-28404	3	2	the	the	DET
bracis-28404	3	3	best	good	ADJ
bracis-28404	3	4	of	of	ADP
bracis-28404	3	5	our	our	PRON
bracis-28404	3	6	knowledge	knowledge	NOUN
bracis-28404	3	7	,	,	PUNCT
bracis-28404	3	8	we	we	PRON
bracis-28404	3	9	are	be	AUX
bracis-28404	3	10	the	the	DET
bracis-28404	3	11	first	first	ADJ
bracis-28404	3	12	to	to	PART
bracis-28404	3	13	utilize	utilize	VERB
bracis-28404	3	14	these	these	DET
bracis-28404	3	15	inequalities	inequality	NOUN
bracis-28404	3	16	in	in	ADP
bracis-28404	3	17	conjunction	conjunction	NOUN
bracis-28404	3	18	with	with	ADP
bracis-28404	3	19	the	the	DET
bracis-28404	3	20	genetic	genetic	ADJ
bracis-28404	3	21	algorithm	algorithm	NOUN
bracis-28404	3	22	methodology	methodology	NOUN
bracis-28404	3	23	to	to	PART
bracis-28404	3	24	solve	solve	VERB
bracis-28404	3	25	the	the	DET
bracis-28404	3	26	max	max	PROPN
bracis-28404	3	27	-	-	PUNCT
bracis-28404	3	28	cut	cut	VERB
bracis-28404	3	29	problem	problem	NOUN
bracis-28404	3	30	.	.	PUNCT
bracis-28404	4	1	computational	computational	ADJ
bracis-28404	4	2	experiments	experiment	NOUN
bracis-28404	4	3	using	use	VERB
bracis-28404	4	4	a	a	DET
bracis-28404	4	5	benchmark	benchmark	NOUN
bracis-28404	4	6	set	set	NOUN
bracis-28404	4	7	of	of	ADP
bracis-28404	4	8	54	54	NUM
bracis-28404	4	9	instances	instance	NOUN
bracis-28404	4	10	,	,	PUNCT
bracis-28404	4	11	ranging	range	VERB
bracis-28404	4	12	from	from	ADP
bracis-28404	4	13	800	800	NUM
bracis-28404	4	14	to	to	PART
bracis-28404	4	15	3000	3000	NUM
bracis-28404	4	16	vertices	vertex	NOUN
bracis-28404	4	17	,	,	PUNCT
bracis-28404	4	18	demonstrate	demonstrate	VERB
bracis-28404	4	19	that	that	SCONJ
bracis-28404	4	20	the	the	DET
bracis-28404	4	21	incorporation	incorporation	NOUN
bracis-28404	4	22	of	of	ADP
bracis-28404	4	23	optimality	optimality	NOUN
bracis-28404	4	24	cuts	cut	NOUN
bracis-28404	4	25	is	be	AUX
bracis-28404	4	26	a	a	DET
bracis-28404	4	27	crucial	crucial	ADJ
bracis-28404	4	28	factor	factor	NOUN
bracis-28404	4	29	for	for	ADP
bracis-28404	4	30	our	our	PRON
bracis-28404	4	31	methodologies	methodology	NOUN
bracis-28404	4	32	to	to	PART
bracis-28404	4	33	compete	compete	VERB
bracis-28404	4	34	effectively	effectively	ADV
bracis-28404	4	35	with	with	ADP
bracis-28404	4	36	six	six	NUM
bracis-28404	4	37	state	state	NOUN
bracis-28404	4	38	-	-	PUNCT
bracis-28404	4	39	of	of	ADP
bracis-28404	4	40	-	-	PUNCT
bracis-28404	4	41	the	the	DET
bracis-28404	4	42	-	-	PUNCT
bracis-28404	4	43	art	art	NOUN
bracis-28404	4	44	approaches	approach	NOUN
bracis-28404	4	45	for	for	ADP
bracis-28404	4	46	the	the	DET
bracis-28404	4	47	max	max	PROPN
bracis-28404	4	48	-	-	PUNCT
bracis-28404	4	49	cut	cut	VERB
bracis-28404	4	50	problem	problem	NOUN
bracis-28404	4	51	and	and	CCONJ
bracis-28404	4	52	our	our	PRON
bracis-28404	4	53	genetic	genetic	ADJ
bracis-28404	4	54	algorithm	algorithm	NOUN
bracis-28404	4	55	that	that	PRON
bracis-28404	4	56	incorporated	incorporate	VERB
bracis-28404	4	57	optimality	optimality	NOUN
bracis-28404	4	58	cuts	cut	NOUN
bracis-28404	4	59	in	in	ADP
bracis-28404	4	60	the	the	DET
bracis-28404	4	61	population	population	NOUN
bracis-28404	4	62	generation	generation	NOUN
bracis-28404	4	63	was	be	AUX
bracis-28404	4	64	able	able	ADJ
bracis-28404	4	65	to	to	PART
bracis-28404	4	66	improve	improve	VERB
bracis-28404	4	67	the	the	DET
bracis-28404	4	68	state	state	NOUN
bracis-28404	4	69	-	-	PUNCT
bracis-28404	4	70	of	of	ADP
bracis-28404	4	71	-	-	PUNCT
bracis-28404	4	72	the	the	DET
bracis-28404	4	73	-	-	PUNCT
bracis-28404	4	74	art	art	NOUN
bracis-28404	4	75	value	value	NOUN
bracis-28404	4	76	for	for	ADP
bracis-28404	4	77	the	the	DET
bracis-28404	4	78	g51	g51	ADJ
bracis-28404	4	79	instance	instance	NOUN
bracis-28404	4	80	and	and	CCONJ
bracis-28404	4	81	find	find	VERB
bracis-28404	4	82	the	the	DET
bracis-28404	4	83	same	same	ADJ
bracis-28404	4	84	solutions	solution	NOUN
bracis-28404	4	85	as	as	ADP
bracis-28404	4	86	the	the	DET
bracis-28404	4	87	literature	literature	NOUN
bracis-28404	4	88	in	in	ADP
bracis-28404	4	89	31	31	NUM
bracis-28404	4	90	other	other	ADJ
bracis-28404	4	91	instances	instance	NOUN
bracis-28404	4	92	.	.	PUNCT
bracis-28404	5	1	this	this	DET
bracis-28404	5	2	work	work	NOUN
bracis-28404	5	3	is	be	AUX
bracis-28404	5	4	partially	partially	ADV
bracis-28404	5	5	supported	support	VERB
bracis-28404	5	6	by	by	ADP
bracis-28404	5	7	universal	universal	ADJ
bracis-28404	5	8	cnpq	cnpq	NOUN
bracis-28404	6	1	[	[	X
bracis-28404	6	2	422912/2021	422912/2021	NUM
bracis-28404	6	3	-	-	SYM
bracis-28404	6	4	2	2	NUM
bracis-28404	6	5	]	]	PUNCT
bracis-28404	6	6	.	.	PUNCT
bracis-28404	7	1	access	access	NOUN
bracis-28404	7	2	provided	provide	VERB
bracis-28404	7	3	by	by	ADP
bracis-28404	7	4	university	university	PROPN
bracis-28404	7	5	of	of	ADP
bracis-28404	7	6	notre	notre	PROPN
bracis-28404	7	7	dame	dame	PROPN
bracis-28404	7	8	hesburgh	hesburgh	PROPN
bracis-28404	7	9	library	library	PROPN
bracis-28404	7	10	.	.	PUNCT
bracis-28404	8	1	download	download	PROPN
bracis-28404	8	2	conference	conference	NOUN
bracis-28404	8	3	paper	paper	NOUN
bracis-28404	8	4	pdf	pdf	NOUN
bracis-28404	8	5	similar	similar	ADJ
bracis-28404	8	6	content	content	NOUN
bracis-28404	8	7	being	be	AUX
bracis-28404	8	8	viewed	view	VERB
bracis-28404	8	9	by	by	ADP
bracis-28404	8	10	others	other	NOUN
bracis-28404	8	11	solving	solve	VERB
bracis-28404	8	12	the	the	DET
bracis-28404	8	13	cut	cut	VERB
bracis-28404	8	14	width	width	ADJ
bracis-28404	8	15	optimization	optimization	NOUN
bracis-28404	8	16	problem	problem	NOUN
bracis-28404	8	17	with	with	ADP
bracis-28404	8	18	a	a	DET
bracis-28404	8	19	genetic	genetic	ADJ
bracis-28404	8	20	algorithm	algorithm	NOUN
bracis-28404	8	21	approach	approach	NOUN
bracis-28404	8	22	chapter	chapter	NOUN
bracis-28404	8	23	©	©	PROPN
bracis-28404	8	24	2017	2017	NUM
bracis-28404	8	25	a	a	DET
bracis-28404	8	26	genetic	genetic	ADJ
bracis-28404	8	27	algorithm	algorithm	NOUN
bracis-28404	8	28	approach	approach	NOUN
bracis-28404	8	29	for	for	ADP
bracis-28404	8	30	large	large	ADJ
bracis-28404	8	31	-	-	PUNCT
bracis-28404	8	32	scale	scale	NOUN
bracis-28404	8	33	cutting	cut	VERB
bracis-28404	8	34	stock	stock	NOUN
bracis-28404	8	35	problem	problem	NOUN
bracis-28404	8	36	chapter	chapter	NOUN
bracis-28404	8	37	©	©	PROPN
bracis-28404	8	38	2018	2018	NUM
bracis-28404	8	39	new	new	ADJ
bracis-28404	8	40	algorithms	algorithm	NOUN
bracis-28404	8	41	for	for	ADP
bracis-28404	8	42	 	 	SPACE
bracis-28404	8	43	a	a	DET
bracis-28404	8	44	 	 	SPACE
bracis-28404	8	45	simple	simple	ADJ
bracis-28404	8	46	measure	measure	NOUN
bracis-28404	8	47	of	of	ADP
bracis-28404	8	48	 	 	SPACE
bracis-28404	8	49	network	network	NOUN
bracis-28404	8	50	partitioning	partition	VERB
bracis-28404	8	51	chapter	chapter	NOUN
bracis-28404	8	52	©	©	PROPN
bracis-28404	8	53	2022	2022	NUM
bracis-28404	8	54	explore	explore	VERB
bracis-28404	8	55	related	relate	VERB
bracis-28404	8	56	subjects	subject	NOUN
bracis-28404	8	57	discover	discover	VERB
bracis-28404	8	58	the	the	DET
bracis-28404	8	59	latest	late	ADJ
bracis-28404	8	60	articles	article	NOUN
bracis-28404	8	61	,	,	PUNCT
bracis-28404	8	62	books	book	NOUN
bracis-28404	8	63	and	and	CCONJ
bracis-28404	8	64	news	news	NOUN
bracis-28404	8	65	in	in	ADP
bracis-28404	8	66	related	related	ADJ
bracis-28404	8	67	subjects	subject	NOUN
bracis-28404	8	68	,	,	PUNCT
bracis-28404	8	69	suggested	suggest	VERB
bracis-28404	8	70	using	use	VERB
bracis-28404	8	71	machine	machine	NOUN
bracis-28404	8	72	learning	learning	NOUN
bracis-28404	8	73	.	.	PUNCT
bracis-28404	9	1	algorithms	algorithm	NOUN
bracis-28404	9	2	discrete	discrete	VERB
bracis-28404	9	3	optimization	optimization	NOUN
bracis-28404	9	4	genetic	genetic	ADJ
bracis-28404	9	5	techniques	technique	NOUN
bracis-28404	9	6	genome	genome	NOUN
bracis-28404	9	7	assembly	assembly	NOUN
bracis-28404	9	8	algorithms	algorithm	NOUN
bracis-28404	9	9	graph	graph	NOUN
bracis-28404	9	10	theory	theory	NOUN
bracis-28404	9	11	optimization	optimization	NOUN
bracis-28404	9	12	1	1	NUM
bracis-28404	9	13	introduction	introduction	NOUN
bracis-28404	9	14	the	the	DET
bracis-28404	9	15	max	max	PROPN
bracis-28404	9	16	-	-	PUNCT
bracis-28404	9	17	cut	cut	VERB
bracis-28404	9	18	problem	problem	NOUN
bracis-28404	9	19	is	be	AUX
bracis-28404	9	20	a	a	DET
bracis-28404	9	21	combinatorial	combinatorial	ADJ
bracis-28404	9	22	optimization	optimization	NOUN
bracis-28404	9	23	problem	problem	NOUN
bracis-28404	9	24	that	that	SCONJ
bracis-28404	9	25	,	,	PUNCT
bracis-28404	9	26	due	due	ADP
bracis-28404	9	27	to	to	ADP
bracis-28404	9	28	its	its	PRON
bracis-28404	9	29	vast	vast	ADJ
bracis-28404	9	30	domain	domain	NOUN
bracis-28404	9	31	of	of	ADP
bracis-28404	9	32	applications	application	NOUN
bracis-28404	9	33	such	such	ADJ
bracis-28404	9	34	as	as	ADP
bracis-28404	9	35	social	social	ADJ
bracis-28404	9	36	networks	network	NOUN
bracis-28404	9	37	,	,	PUNCT
bracis-28404	9	38	where	where	SCONJ
bracis-28404	9	39	the	the	DET
bracis-28404	9	40	max	max	PROPN
bracis-28404	9	41	-	-	PUNCT
bracis-28404	9	42	cut	cut	VERB
bracis-28404	9	43	value	value	NOUN
bracis-28404	9	44	is	be	AUX
bracis-28404	9	45	generally	generally	ADV
bracis-28404	9	46	a	a	DET
bracis-28404	9	47	measure	measure	NOUN
bracis-28404	9	48	of	of	ADP
bracis-28404	9	49	network	network	NOUN
bracis-28404	9	50	robustness	robustness	NOUN
bracis-28404	9	51	and	and	CCONJ
bracis-28404	9	52	structural	structural	ADJ
bracis-28404	9	53	balance	balance	NOUN
bracis-28404	9	54	originating	originate	VERB
bracis-28404	9	55	from	from	ADP
bracis-28404	9	56	social	social	ADJ
bracis-28404	9	57	behaviors	behavior	NOUN
bracis-28404	9	58	[	[	X
bracis-28404	9	59	1	1	NUM
bracis-28404	9	60	,	,	PUNCT
bracis-28404	9	61	5	5	NUM
bracis-28404	9	62	,	,	PUNCT
bracis-28404	9	63	11	11	NUM
bracis-28404	9	64	,	,	PUNCT
bracis-28404	9	65	18	18	NUM
bracis-28404	9	66	]	]	PUNCT
bracis-28404	9	67	,	,	PUNCT
bracis-28404	9	68	statistical	statistical	ADJ
bracis-28404	9	69	physics	physics	NOUN
bracis-28404	9	70	,	,	PUNCT
bracis-28404	9	71	image	image	NOUN
bracis-28404	9	72	segmentation	segmentation	NOUN
bracis-28404	9	73	,	,	PUNCT
bracis-28404	9	74	design	design	NOUN
bracis-28404	9	75	of	of	ADP
bracis-28404	9	76	very	very	ADV
bracis-28404	9	77	large	large	ADJ
bracis-28404	9	78	scale	scale	NOUN
bracis-28404	9	79	integrated	integrate	VERB
bracis-28404	9	80	(	(	PUNCT
bracis-28404	9	81	vlsi	vlsi	NOUN
bracis-28404	9	82	)	)	PUNCT
bracis-28404	9	83	circuits	circuit	NOUN
bracis-28404	9	84	and	and	CCONJ
bracis-28404	9	85	communications	communication	NOUN
bracis-28404	9	86	network	network	NOUN
bracis-28404	9	87	design	design	NOUN
bracis-28404	9	88	[	[	X
bracis-28404	9	89	4	4	NUM
bracis-28404	9	90	]	]	PUNCT
bracis-28404	9	91	,	,	PUNCT
bracis-28404	9	92	has	have	AUX
bracis-28404	9	93	attracted	attract	VERB
bracis-28404	9	94	the	the	DET
bracis-28404	9	95	scientific	scientific	ADJ
bracis-28404	9	96	interest	interest	NOUN
bracis-28404	9	97	of	of	ADP
bracis-28404	9	98	several	several	ADJ
bracis-28404	9	99	researchers	researcher	NOUN
bracis-28404	9	100	in	in	ADP
bracis-28404	9	101	the	the	DET
bracis-28404	9	102	areas	area	NOUN
bracis-28404	9	103	of	of	ADP
bracis-28404	9	104	graph	graph	NOUN
bracis-28404	9	105	theory	theory	NOUN
bracis-28404	9	106	,	,	PUNCT
bracis-28404	9	107	mathematical	mathematical	ADJ
bracis-28404	9	108	optimization	optimization	NOUN
bracis-28404	9	109	and	and	CCONJ
bracis-28404	9	110	discrete	discrete	ADJ
bracis-28404	9	111	mathematics	mathematic	NOUN
bracis-28404	9	112	[	[	X
bracis-28404	9	113	6	6	NUM
bracis-28404	9	114	]	]	PUNCT
bracis-28404	9	115	.	.	PUNCT
bracis-28404	10	1	this	this	DET
bracis-28404	10	2	high	high	ADJ
bracis-28404	10	3	applicability	applicability	NOUN
bracis-28404	10	4	motivates	motivate	VERB
bracis-28404	10	5	the	the	DET
bracis-28404	10	6	study	study	NOUN
bracis-28404	10	7	and	and	CCONJ
bracis-28404	10	8	development	development	NOUN
bracis-28404	10	9	of	of	ADP
bracis-28404	10	10	algorithms	algorithm	NOUN
bracis-28404	10	11	that	that	PRON
bracis-28404	10	12	obtain	obtain	VERB
bracis-28404	10	13	good	good	ADJ
bracis-28404	10	14	results	result	NOUN
bracis-28404	10	15	in	in	ADP
bracis-28404	10	16	a	a	DET
bracis-28404	10	17	viable	viable	ADJ
bracis-28404	10	18	computational	computational	ADJ
bracis-28404	10	19	time	time	NOUN
bracis-28404	10	20	.	.	PUNCT
bracis-28404	11	1	the	the	DET
bracis-28404	11	2	max	max	PROPN
bracis-28404	11	3	-	-	PUNCT
bracis-28404	11	4	cut	cut	VERB
bracis-28404	11	5	problem	problem	NOUN
bracis-28404	11	6	can	can	AUX
bracis-28404	11	7	be	be	AUX
bracis-28404	11	8	described	describe	VERB
bracis-28404	11	9	as	as	ADP
bracis-28404	11	10	follows	follow	VERB
bracis-28404	11	11	:	:	PUNCT
bracis-28404	11	12	given	give	VERB
bracis-28404	11	13	an	an	DET
bracis-28404	11	14	undirected	undirected	ADJ
bracis-28404	11	15	graph	graph	NOUN
bracis-28404	11	16	\(g	\(g	NOUN
bracis-28404	11	17	=	=	SYM
bracis-28404	11	18	(	(	PUNCT
bracis-28404	11	19	v	v	NOUN
bracis-28404	11	20	,	,	PUNCT
bracis-28404	11	21	e)\	e)\	NOUN
bracis-28404	11	22	)	)	PUNCT
bracis-28404	11	23	where	where	SCONJ
bracis-28404	11	24	v	v	NOUN
bracis-28404	11	25	is	be	AUX
bracis-28404	11	26	a	a	DET
bracis-28404	11	27	set	set	NOUN
bracis-28404	11	28	with	with	ADP
bracis-28404	11	29	n	n	DET
bracis-28404	11	30	nodes	node	NOUN
bracis-28404	11	31	,	,	PUNCT
bracis-28404	11	32	e	e	X
bracis-28404	11	33	is	be	AUX
bracis-28404	11	34	a	a	DET
bracis-28404	11	35	set	set	NOUN
bracis-28404	11	36	with	with	ADP
bracis-28404	11	37	m	m	PROPN
bracis-28404	11	38	edges	edge	NOUN
bracis-28404	11	39	and	and	CCONJ
bracis-28404	11	40	a	a	DET
bracis-28404	11	41	cost	cost	NOUN
bracis-28404	11	42	\(c_{ij	\(c_{ij	PROPN
bracis-28404	11	43	}	}	PUNCT
bracis-28404	11	44	=	=	SYM
bracis-28404	11	45	c_{ji	c_{ji	ADJ
bracis-28404	11	46	}	}	PUNCT
bracis-28404	11	47	\in	\in	PROPN
bracis-28404	11	48	\mathbb	\mathbb	PROPN
bracis-28404	11	49	{	{	PUNCT
bracis-28404	11	50	r}\	r}\	NUM
bracis-28404	11	51	)	)	PUNCT
bracis-28404	11	52	for	for	ADP
bracis-28404	11	53	each	each	DET
bracis-28404	11	54	edge	edge	NOUN
bracis-28404	11	55	\((i	\((i	ADV
bracis-28404	11	56	,	,	PUNCT
bracis-28404	11	57	j	j	NOUN
bracis-28404	11	58	)	)	PUNCT
bracis-28404	11	59	\in	\in	PROPN
bracis-28404	11	60	e\	e\	PROPN
bracis-28404	11	61	)	)	PUNCT
bracis-28404	11	62	.	.	PUNCT
bracis-28404	12	1	any	any	DET
bracis-28404	12	2	partition	partition	NOUN
bracis-28404	12	3	of	of	ADP
bracis-28404	12	4	v	v	NOUN
bracis-28404	12	5	,	,	PUNCT
bracis-28404	12	6	represented	represent	VERB
bracis-28404	12	7	by	by	ADP
bracis-28404	12	8	\((s	\((s	NOUN
bracis-28404	12	9	,	,	PUNCT
bracis-28404	12	10	\bar{s})\	\bar{s})\	NOUN
bracis-28404	12	11	)	)	PUNCT
bracis-28404	12	12	,	,	PUNCT
bracis-28404	12	13	defines	define	VERB
bracis-28404	12	14	a	a	DET
bracis-28404	12	15	cut	cut	NOUN
bracis-28404	12	16	of	of	ADP
bracis-28404	12	17	g.	g.	PROPN
bracis-28404	12	18	the	the	DET
bracis-28404	12	19	cut	cut	NOUN
bracis-28404	12	20	value	value	NOUN
bracis-28404	12	21	is	be	AUX
bracis-28404	12	22	the	the	DET
bracis-28404	12	23	sum	sum	NOUN
bracis-28404	12	24	of	of	ADP
bracis-28404	12	25	all	all	DET
bracis-28404	12	26	\(c_{ij}\	\(c_{ij}\	NOUN
bracis-28404	12	27	)	)	PUNCT
bracis-28404	12	28	,	,	PUNCT
bracis-28404	12	29	such	such	ADJ
bracis-28404	12	30	that	that	SCONJ
bracis-28404	12	31	\(i	\(i	ADJ
bracis-28404	12	32	\in	\in	PROPN
bracis-28404	12	33	s	s	PROPN
bracis-28404	12	34	\text	\text	NOUN
bracis-28404	12	35	{	{	PUNCT
bracis-28404	12	36	and	and	CCONJ
bracis-28404	12	37	}	}	PUNCT
bracis-28404	12	38	j	j	PROPN
bracis-28404	12	39	\in	\in	PROPN
bracis-28404	12	40	\bar{s}\	\bar{s}\	NUM
bracis-28404	12	41	)	)	PUNCT
bracis-28404	12	42	.	.	PUNCT
bracis-28404	13	1	it	it	PRON
bracis-28404	13	2	is	be	AUX
bracis-28404	13	3	important	important	ADJ
bracis-28404	13	4	to	to	PART
bracis-28404	13	5	note	note	VERB
bracis-28404	13	6	that	that	DET
bracis-28404	13	7	s	s	NOUN
bracis-28404	13	8	or	or	CCONJ
bracis-28404	13	9	\(\bar{s}\	\(\bar{s}\	PROPN
bracis-28404	13	10	)	)	PUNCT
bracis-28404	13	11	can	can	AUX
bracis-28404	13	12	be	be	AUX
bracis-28404	13	13	empty	empty	ADJ
bracis-28404	13	14	.	.	PUNCT
bracis-28404	14	1	the	the	DET
bracis-28404	14	2	max	max	PROPN
bracis-28404	14	3	-	-	PUNCT
bracis-28404	14	4	cut	cut	VERB
bracis-28404	14	5	problem	problem	NOUN
bracis-28404	14	6	consists	consist	VERB
bracis-28404	14	7	in	in	ADP
bracis-28404	14	8	finding	find	VERB
bracis-28404	14	9	a	a	DET
bracis-28404	14	10	cut	cut	NOUN
bracis-28404	14	11	of	of	ADP
bracis-28404	14	12	g	g	NOUN
bracis-28404	14	13	with	with	ADP
bracis-28404	14	14	the	the	DET
bracis-28404	14	15	largest	large	ADJ
bracis-28404	14	16	value	value	NOUN
bracis-28404	14	17	.	.	PUNCT
bracis-28404	15	1	figure	figure	NOUN
bracis-28404	15	2	 	 	SPACE
bracis-28404	15	3	1	1	NUM
bracis-28404	15	4	a	a	PRON
bracis-28404	15	5	)	)	PUNCT
bracis-28404	15	6	show	show	VERB
bracis-28404	15	7	a	a	DET
bracis-28404	15	8	weighted	weight	VERB
bracis-28404	15	9	undirected	undirected	ADJ
bracis-28404	15	10	graph	graph	NOUN
bracis-28404	15	11	g	g	NOUN
bracis-28404	15	12	with	with	ADP
bracis-28404	15	13	\(v	\(v	X
bracis-28404	15	14	=	=	SYM
bracis-28404	15	15	\{1,2,3,4,5\}\	\{1,2,3,4,5\}\	NOUN
bracis-28404	15	16	)	)	PUNCT
bracis-28404	15	17	and	and	CCONJ
bracis-28404	15	18	\(e	\(e	NOUN
bracis-28404	15	19	=	=	SYM
bracis-28404	15	20	\{(1,2	\{(1,2	X
bracis-28404	15	21	)	)	PUNCT
bracis-28404	15	22	,	,	PUNCT
bracis-28404	15	23	(	(	PUNCT
bracis-28404	15	24	1,4	1,4	NUM
bracis-28404	15	25	)	)	PUNCT
bracis-28404	15	26	,	,	PUNCT
bracis-28404	15	27	(	(	PUNCT
bracis-28404	15	28	2,3	2,3	NUM
bracis-28404	15	29	)	)	PUNCT
bracis-28404	15	30	,	,	PUNCT
bracis-28404	15	31	(	(	PUNCT
bracis-28404	15	32	2,4	2,4	NUM
bracis-28404	15	33	)	)	PUNCT
bracis-28404	15	34	,	,	PUNCT
bracis-28404	15	35	(	(	PUNCT
bracis-28404	15	36	2,5	2,5	NUM
bracis-28404	15	37	)	)	PUNCT
bracis-28404	15	38	,	,	PUNCT
bracis-28404	15	39	(	(	PUNCT
bracis-28404	15	40	3,4	3,4	NUM
bracis-28404	15	41	)	)	PUNCT
bracis-28404	15	42	,	,	PUNCT
bracis-28404	15	43	(	(	PUNCT
bracis-28404	15	44	3,5	3,5	NUM
bracis-28404	15	45	)	)	PUNCT
bracis-28404	15	46	,	,	PUNCT
bracis-28404	15	47	(	(	PUNCT
bracis-28404	15	48	4,5	4,5	NUM
bracis-28404	15	49	)	)	PUNCT
bracis-28404	15	50	\}\	\}\	NOUN
bracis-28404	15	51	)	)	PUNCT
bracis-28404	15	52	.	.	PUNCT
bracis-28404	16	1	figure	figure	VERB
bracis-28404	16	2	 	 	SPACE
bracis-28404	16	3	1	1	NUM
bracis-28404	16	4	b	b	NOUN
bracis-28404	16	5	)	)	PUNCT
bracis-28404	16	6	presents	present	VERB
bracis-28404	16	7	a	a	DET
bracis-28404	16	8	possible	possible	ADJ
bracis-28404	16	9	partition	partition	NOUN
bracis-28404	16	10	\((s	\((s	NOUN
bracis-28404	16	11	,	,	PUNCT
bracis-28404	16	12	\bar{s})\	\bar{s})\	NOUN
bracis-28404	16	13	)	)	PUNCT
bracis-28404	16	14	,	,	PUNCT
bracis-28404	16	15	where	where	SCONJ
bracis-28404	16	16	\(s	\(	VERB
bracis-28404	16	17	=	=	SYM
bracis-28404	16	18	\{1	\{1	PROPN
bracis-28404	16	19	,	,	PUNCT
bracis-28404	16	20	2	2	NUM
bracis-28404	16	21	,	,	PUNCT
bracis-28404	16	22	3\}\	3\}\	NUM
bracis-28404	16	23	)	)	PUNCT
bracis-28404	16	24	,	,	PUNCT
bracis-28404	16	25	\(\bar{s	\(\bar{s	X
bracis-28404	16	26	}	}	PUNCT
bracis-28404	16	27	=	=	SYM
bracis-28404	16	28	\{4	\{4	X
bracis-28404	16	29	,	,	PUNCT
bracis-28404	16	30	5\}\	5\}\	NUM
bracis-28404	16	31	)	)	PUNCT
bracis-28404	16	32	and	and	CCONJ
bracis-28404	16	33	its	its	PRON
bracis-28404	16	34	associated	associated	ADJ
bracis-28404	16	35	cut	cut	NOUN
bracis-28404	16	36	value	value	NOUN
bracis-28404	16	37	\(c_{14	\(c_{14	NOUN
bracis-28404	16	38	}	}	PUNCT
bracis-28404	16	39	+	+	NOUN
bracis-28404	16	40	c_{24	c_{24	NUM
bracis-28404	16	41	}	}	PUNCT
bracis-28404	16	42	+	+	CCONJ
bracis-28404	16	43	c_{25	c_{25	NOUN
bracis-28404	16	44	}	}	PUNCT
bracis-28404	16	45	+	+	CCONJ
bracis-28404	16	46	c_{34	c_{34	PROPN
bracis-28404	16	47	}	}	PUNCT
bracis-28404	16	48	+	+	NUM
bracis-28404	16	49	c_{35	c_{35	NUM
bracis-28404	16	50	}	}	PUNCT
bracis-28404	16	51	=	=	PUNCT
bracis-28404	17	1	10	10	NUM
bracis-28404	17	2	+	+	NUM
bracis-28404	17	3	10	10	NUM
bracis-28404	18	1	+	+	NUM
bracis-28404	18	2	5	5	NUM
bracis-28404	18	3	+	+	CCONJ
bracis-28404	18	4	10	10	NUM
bracis-28404	18	5	+	+	SYM
bracis-28404	18	6	5	5	NUM
bracis-28404	18	7	=	=	SYM
bracis-28404	18	8	40\	40\	NUM
bracis-28404	18	9	)	)	PUNCT
bracis-28404	18	10	.	.	PUNCT
bracis-28404	19	1	fig	fig	NOUN
bracis-28404	19	2	.	.	PUNCT
bracis-28404	20	1	1	1	X
bracis-28404	20	2	.	.	X
bracis-28404	20	3	a	a	PRON
bracis-28404	20	4	)	)	PUNCT
bracis-28404	20	5	example	example	NOUN
bracis-28404	20	6	of	of	ADP
bracis-28404	20	7	a	a	DET
bracis-28404	20	8	weighted	weight	VERB
bracis-28404	20	9	undirected	undirected	ADJ
bracis-28404	20	10	graph	graph	NOUN
bracis-28404	20	11	g	g	NOUN
bracis-28404	20	12	with	with	ADP
bracis-28404	20	13	5	5	NUM
bracis-28404	20	14	vertices	vertex	NOUN
bracis-28404	20	15	and	and	CCONJ
bracis-28404	20	16	8	8	NUM
bracis-28404	20	17	edges	edge	NOUN
bracis-28404	20	18	.	.	PUNCT
bracis-28404	21	1	b	b	X
bracis-28404	21	2	)	)	PUNCT
bracis-28404	21	3	example	example	NOUN
bracis-28404	21	4	of	of	ADP
bracis-28404	21	5	a	a	DET
bracis-28404	21	6	\((s,\bar{s})\	\((s,\bar{s})\	NOUN
bracis-28404	21	7	)	)	PUNCT
bracis-28404	21	8	partition	partition	NOUN
bracis-28404	21	9	of	of	ADP
bracis-28404	21	10	v.	v.	ADP
bracis-28404	21	11	full	full	ADJ
bracis-28404	21	12	size	size	NOUN
bracis-28404	21	13	image	image	NOUN
bracis-28404	21	14	classified	classify	VERB
bracis-28404	21	15	as	as	ADP
bracis-28404	21	16	an	an	DET
bracis-28404	21	17	np	np	INTJ
bracis-28404	21	18	-	-	PUNCT
bracis-28404	21	19	hard	hard	ADJ
bracis-28404	21	20	problem	problem	NOUN
bracis-28404	21	21	[	[	X
bracis-28404	21	22	14	14	NUM
bracis-28404	21	23	]	]	PUNCT
bracis-28404	21	24	,	,	PUNCT
bracis-28404	21	25	it	it	PRON
bracis-28404	21	26	is	be	AUX
bracis-28404	21	27	considered	consider	VERB
bracis-28404	21	28	a	a	DET
bracis-28404	21	29	computational	computational	ADJ
bracis-28404	21	30	challenge	challenge	NOUN
bracis-28404	21	31	to	to	PART
bracis-28404	21	32	solve	solve	VERB
bracis-28404	21	33	it	it	PRON
bracis-28404	21	34	optimally	optimally	ADV
bracis-28404	21	35	,	,	PUNCT
bracis-28404	21	36	even	even	ADV
bracis-28404	21	37	for	for	ADP
bracis-28404	21	38	moderately	moderately	ADV
bracis-28404	21	39	sized	sized	ADJ
bracis-28404	21	40	instances	instance	NOUN
bracis-28404	22	1	[	[	X
bracis-28404	22	2	19	19	NUM
bracis-28404	22	3	]	]	PUNCT
bracis-28404	22	4	.	.	PUNCT
bracis-28404	23	1	therefore	therefore	ADV
bracis-28404	23	2	,	,	PUNCT
bracis-28404	23	3	for	for	ADP
bracis-28404	23	4	these	these	DET
bracis-28404	23	5	instances	instance	NOUN
bracis-28404	23	6	,	,	PUNCT
bracis-28404	23	7	it	it	PRON
bracis-28404	23	8	is	be	AUX
bracis-28404	23	9	necessary	necessary	ADJ
bracis-28404	23	10	to	to	PART
bracis-28404	23	11	use	use	VERB
bracis-28404	23	12	approaches	approach	NOUN
bracis-28404	23	13	that	that	PRON
bracis-28404	23	14	provide	provide	VERB
bracis-28404	23	15	results	result	NOUN
bracis-28404	23	16	close	close	ADJ
bracis-28404	23	17	to	to	ADP
bracis-28404	23	18	the	the	DET
bracis-28404	23	19	optimal	optimal	ADJ
bracis-28404	23	20	solution	solution	NOUN
bracis-28404	23	21	,	,	PUNCT
bracis-28404	23	22	such	such	ADJ
bracis-28404	23	23	heuristics	heuristic	NOUN
bracis-28404	23	24	,	,	PUNCT
bracis-28404	23	25	meta	meta	X
bracis-28404	23	26	-	-	PUNCT
bracis-28404	23	27	heuristics	heuristic	NOUN
bracis-28404	23	28	and	and	CCONJ
bracis-28404	23	29	approximation	approximation	NOUN
bracis-28404	23	30	algorithms	algorithm	NOUN
bracis-28404	23	31	[	[	X
bracis-28404	23	32	10	10	NUM
bracis-28404	23	33	]	]	PUNCT
bracis-28404	23	34	.	.	PUNCT
bracis-28404	24	1	for	for	ADP
bracis-28404	24	2	large	large	ADJ
bracis-28404	24	3	instances	instance	NOUN
bracis-28404	24	4	,	,	PUNCT
bracis-28404	24	5	heuristic	heuristic	ADJ
bracis-28404	24	6	and	and	CCONJ
bracis-28404	24	7	metaheuristic	metaheuristic	ADJ
bracis-28404	24	8	methods	method	NOUN
bracis-28404	24	9	are	be	AUX
bracis-28404	24	10	commonly	commonly	ADV
bracis-28404	24	11	used	use	VERB
bracis-28404	24	12	to	to	PART
bracis-28404	24	13	find	find	VERB
bracis-28404	24	14	“	"	PUNCT
bracis-28404	24	15	goodenough	goodenough	NOUN
bracis-28404	24	16	”	"	PUNCT
bracis-28404	24	17	sub	sub	ADJ
bracis-28404	24	18	-	-	ADJ
bracis-28404	24	19	optimal	optimal	ADJ
bracis-28404	24	20	solutions	solution	NOUN
bracis-28404	24	21	.	.	PUNCT
bracis-28404	25	1	in	in	ADP
bracis-28404	25	2	particular	particular	ADJ
bracis-28404	25	3	,	,	PUNCT
bracis-28404	25	4	for	for	ADP
bracis-28404	25	5	the	the	DET
bracis-28404	25	6	very	very	ADV
bracis-28404	25	7	popular	popular	ADJ
bracis-28404	25	8	max	max	NOUN
bracis-28404	25	9	-	-	PUNCT
bracis-28404	25	10	cut	cut	VERB
bracis-28404	25	11	problem	problem	NOUN
bracis-28404	25	12	,	,	PUNCT
bracis-28404	25	13	many	many	ADJ
bracis-28404	25	14	heuristic	heuristic	ADJ
bracis-28404	25	15	algorithms	algorithm	NOUN
bracis-28404	25	16	have	have	AUX
bracis-28404	25	17	been	be	AUX
bracis-28404	25	18	proposed	propose	VERB
bracis-28404	25	19	,	,	PUNCT
bracis-28404	25	20	including	include	VERB
bracis-28404	25	21	simulated	simulate	VERB
bracis-28404	25	22	annealing	anneal	VERB
bracis-28404	25	23	[	[	X
bracis-28404	25	24	23	23	NUM
bracis-28404	25	25	]	]	PUNCT
bracis-28404	25	26	,	,	PUNCT
bracis-28404	25	27	tabu	tabu	NOUN
bracis-28404	25	28	search	search	NOUN
bracis-28404	26	1	[	[	X
bracis-28404	26	2	17	17	NUM
bracis-28404	26	3	]	]	PUNCT
bracis-28404	26	4	,	,	PUNCT
bracis-28404	26	5	tabu	tabu	NOUN
bracis-28404	26	6	search	search	NOUN
bracis-28404	26	7	with	with	ADP
bracis-28404	26	8	local	local	ADJ
bracis-28404	26	9	search	search	NOUN
bracis-28404	26	10	procedure	procedure	NOUN
bracis-28404	26	11	[	[	X
bracis-28404	26	12	2	2	NUM
bracis-28404	26	13	]	]	PUNCT
bracis-28404	26	14	,	,	PUNCT
bracis-28404	26	15	scatter	scatter	NOUN
bracis-28404	26	16	search	search	NOUN
bracis-28404	26	17	with	with	ADP
bracis-28404	26	18	greedy	greedy	ADJ
bracis-28404	26	19	randomized	randomize	VERB
bracis-28404	26	20	adaptive	adaptive	ADJ
bracis-28404	26	21	search	search	NOUN
bracis-28404	26	22	procedure	procedure	NOUN
bracis-28404	26	23	grasp	grasp	NOUN
bracis-28404	26	24	[	[	X
bracis-28404	26	25	21	21	NUM
bracis-28404	26	26	]	]	X
bracis-28404	26	27	,	,	PUNCT
bracis-28404	26	28	memetic	memetic	ADJ
bracis-28404	26	29	algorithm	algorithm	NOUN
bracis-28404	27	1	[	[	X
bracis-28404	27	2	27	27	NUM
bracis-28404	27	3	]	]	PUNCT
bracis-28404	27	4	and	and	CCONJ
bracis-28404	27	5	multiple	multiple	ADJ
bracis-28404	27	6	search	search	NOUN
bracis-28404	27	7	operator	operator	NOUN
bracis-28404	27	8	heuristic	heuristic	NOUN
bracis-28404	27	9	[	[	X
bracis-28404	27	10	20	20	NUM
bracis-28404	27	11	]	]	PUNCT
bracis-28404	27	12	.	.	PUNCT
bracis-28404	28	1	these	these	DET
bracis-28404	28	2	six	six	NUM
bracis-28404	28	3	procedures	procedure	NOUN
bracis-28404	28	4	were	be	AUX
bracis-28404	28	5	tested	test	VERB
bracis-28404	28	6	using	use	VERB
bracis-28404	28	7	the	the	DET
bracis-28404	28	8	benchmark	benchmark	NOUN
bracis-28404	28	9	of	of	ADP
bracis-28404	28	10	instances	instance	NOUN
bracis-28404	28	11	,	,	PUNCT
bracis-28404	28	12	called	call	VERB
bracis-28404	28	13	g	g	PROPN
bracis-28404	28	14	set	set	NOUN
bracis-28404	28	15	and	and	CCONJ
bracis-28404	28	16	the	the	DET
bracis-28404	28	17	results	result	NOUN
bracis-28404	28	18	obtained	obtain	VERB
bracis-28404	28	19	(	(	PUNCT
bracis-28404	28	20	only	only	ADV
bracis-28404	28	21	cut	cut	NOUN
bracis-28404	28	22	value	value	NOUN
bracis-28404	28	23	)	)	PUNCT
bracis-28404	28	24	,	,	PUNCT
bracis-28404	28	25	as	as	ADV
bracis-28404	28	26	far	far	ADV
bracis-28404	28	27	as	as	SCONJ
bracis-28404	28	28	is	be	AUX
bracis-28404	28	29	known	know	VERB
bracis-28404	28	30	,	,	PUNCT
bracis-28404	28	31	represents	represent	VERB
bracis-28404	28	32	the	the	DET
bracis-28404	28	33	state	state	NOUN
bracis-28404	28	34	-	-	PUNCT
bracis-28404	28	35	of	of	ADP
bracis-28404	28	36	-	-	PUNCT
bracis-28404	28	37	the	the	DET
bracis-28404	28	38	-	-	PUNCT
bracis-28404	28	39	art	art	NOUN
bracis-28404	28	40	to	to	ADP
bracis-28404	28	41	max	max	NOUN
bracis-28404	28	42	-	-	PUNCT
bracis-28404	28	43	cut	cut	NOUN
bracis-28404	28	44	.	.	PUNCT
bracis-28404	29	1	in	in	ADP
bracis-28404	29	2	this	this	DET
bracis-28404	29	3	context	context	NOUN
bracis-28404	29	4	,	,	PUNCT
bracis-28404	29	5	a	a	DET
bracis-28404	29	6	genetic	genetic	ADJ
bracis-28404	29	7	algorithm	algorithm	NOUN
bracis-28404	29	8	is	be	AUX
bracis-28404	29	9	one	one	NUM
bracis-28404	29	10	of	of	ADP
bracis-28404	29	11	the	the	DET
bracis-28404	29	12	population	population	NOUN
bracis-28404	29	13	-	-	PUNCT
bracis-28404	29	14	based	base	VERB
bracis-28404	29	15	meta	meta	ADJ
bracis-28404	29	16	-	-	PUNCT
bracis-28404	29	17	heuristic	heuristic	NOUN
bracis-28404	29	18	[	[	X
bracis-28404	29	19	22	22	NUM
bracis-28404	29	20	]	]	PUNCT
bracis-28404	29	21	that	that	PRON
bracis-28404	29	22	has	have	AUX
bracis-28404	29	23	been	be	AUX
bracis-28404	29	24	used	use	VERB
bracis-28404	29	25	in	in	ADP
bracis-28404	29	26	several	several	ADJ
bracis-28404	29	27	studies	study	NOUN
bracis-28404	29	28	,	,	PUNCT
bracis-28404	29	29	such	such	ADJ
bracis-28404	29	30	as	as	ADP
bracis-28404	29	31	test	test	NOUN
bracis-28404	29	32	data	data	NOUN
bracis-28404	29	33	generation	generation	NOUN
bracis-28404	29	34	and	and	CCONJ
bracis-28404	29	35	selection	selection	NOUN
bracis-28404	29	36	in	in	ADP
bracis-28404	29	37	a	a	DET
bracis-28404	29	38	regression	regression	NOUN
bracis-28404	29	39	testing	testing	NOUN
bracis-28404	29	40	environment	environment	NOUN
bracis-28404	30	1	[	[	X
bracis-28404	30	2	24	24	NUM
bracis-28404	30	3	]	]	PUNCT
bracis-28404	30	4	,	,	PUNCT
bracis-28404	30	5	for	for	ADP
bracis-28404	30	6	the	the	DET
bracis-28404	30	7	job	job	NOUN
bracis-28404	30	8	shop	shop	NOUN
bracis-28404	30	9	scheduling	scheduling	NOUN
bracis-28404	30	10	problem	problem	NOUN
bracis-28404	30	11	[	[	X
bracis-28404	30	12	26	26	NUM
bracis-28404	30	13	]	]	X
bracis-28404	30	14	,	,	PUNCT
bracis-28404	30	15	for	for	ADP
bracis-28404	30	16	designing	design	VERB
bracis-28404	30	17	the	the	DET
bracis-28404	30	18	weights	weight	NOUN
bracis-28404	30	19	to	to	PART
bracis-28404	30	20	combine	combine	VERB
bracis-28404	30	21	recurrent	recurrent	ADJ
bracis-28404	30	22	neural	neural	ADJ
bracis-28404	30	23	network	network	NOUN
bracis-28404	30	24	(	(	PUNCT
bracis-28404	30	25	rnn	rnn	PROPN
bracis-28404	30	26	)	)	PUNCT
bracis-28404	30	27	and	and	CCONJ
bracis-28404	30	28	long	long	ADJ
bracis-28404	30	29	short	short	ADJ
bracis-28404	30	30	-	-	PUNCT
bracis-28404	30	31	term	term	NOUN
bracis-28404	30	32	memory	memory	NOUN
bracis-28404	30	33	(	(	PUNCT
bracis-28404	30	34	lstm	lstm	NOUN
bracis-28404	30	35	)	)	PUNCT
bracis-28404	31	1	[	[	X
bracis-28404	31	2	7	7	X
bracis-28404	31	3	]	]	PUNCT
bracis-28404	31	4	and	and	CCONJ
bracis-28404	31	5	for	for	ADP
bracis-28404	31	6	the	the	DET
bracis-28404	31	7	max	max	PROPN
bracis-28404	31	8	-	-	PUNCT
bracis-28404	31	9	cut	cut	VERB
bracis-28404	31	10	problem	problem	NOUN
bracis-28404	31	11	[	[	X
bracis-28404	31	12	10	10	NUM
bracis-28404	31	13	,	,	PUNCT
bracis-28404	31	14	15	15	NUM
bracis-28404	31	15	,	,	PUNCT
bracis-28404	31	16	16	16	NUM
bracis-28404	31	17	]	]	PUNCT
bracis-28404	31	18	.	.	PUNCT
bracis-28404	32	1	considering	consider	VERB
bracis-28404	32	2	the	the	DET
bracis-28404	32	3	literature	literature	NOUN
bracis-28404	32	4	,	,	PUNCT
bracis-28404	32	5	it	it	PRON
bracis-28404	32	6	is	be	AUX
bracis-28404	32	7	notorious	notorious	ADJ
bracis-28404	32	8	an	an	DET
bracis-28404	32	9	extensive	extensive	ADJ
bracis-28404	32	10	use	use	NOUN
bracis-28404	32	11	of	of	ADP
bracis-28404	32	12	heuristics	heuristic	NOUN
bracis-28404	32	13	and	and	CCONJ
bracis-28404	32	14	meta	meta	NOUN
bracis-28404	32	15	-	-	PUNCT
bracis-28404	32	16	heuristics	heuristic	NOUN
bracis-28404	32	17	to	to	PART
bracis-28404	32	18	obtain	obtain	VERB
bracis-28404	32	19	solutions	solution	NOUN
bracis-28404	32	20	for	for	ADP
bracis-28404	32	21	the	the	DET
bracis-28404	32	22	max	max	PROPN
bracis-28404	32	23	-	-	PUNCT
bracis-28404	32	24	cut	cut	NOUN
bracis-28404	32	25	,	,	PUNCT
bracis-28404	32	26	a	a	DET
bracis-28404	32	27	fact	fact	NOUN
bracis-28404	32	28	that	that	PRON
bracis-28404	32	29	motivates	motivate	VERB
bracis-28404	32	30	the	the	DET
bracis-28404	32	31	creation	creation	NOUN
bracis-28404	32	32	of	of	ADP
bracis-28404	32	33	hybrid	hybrid	NOUN
bracis-28404	32	34	and	and	CCONJ
bracis-28404	32	35	non	non	ADJ
bracis-28404	32	36	-	-	ADJ
bracis-28404	32	37	exact	exact	ADJ
bracis-28404	32	38	guided	guide	VERB
bracis-28404	32	39	methodologies	methodology	NOUN
bracis-28404	32	40	to	to	PART
bracis-28404	32	41	improve	improve	VERB
bracis-28404	32	42	the	the	DET
bracis-28404	32	43	results	result	NOUN
bracis-28404	32	44	of	of	ADP
bracis-28404	32	45	the	the	DET
bracis-28404	32	46	state	state	NOUN
bracis-28404	32	47	-	-	PUNCT
bracis-28404	32	48	of	of	ADP
bracis-28404	32	49	-	-	PUNCT
bracis-28404	32	50	the	the	DET
bracis-28404	32	51	-	-	PUNCT
bracis-28404	32	52	art	art	NOUN
bracis-28404	32	53	.	.	PUNCT
bracis-28404	33	1	heuristic	heuristic	ADJ
bracis-28404	33	2	approaches	approach	NOUN
bracis-28404	33	3	using	use	VERB
bracis-28404	33	4	optimality	optimality	NOUN
bracis-28404	33	5	cuts	cut	NOUN
bracis-28404	33	6	proved	prove	VERB
bracis-28404	33	7	to	to	PART
bracis-28404	33	8	be	be	AUX
bracis-28404	33	9	an	an	DET
bracis-28404	33	10	interesting	interesting	ADJ
bracis-28404	33	11	possibility	possibility	NOUN
bracis-28404	33	12	to	to	PART
bracis-28404	33	13	reduce	reduce	VERB
bracis-28404	33	14	the	the	DET
bracis-28404	33	15	search	search	NOUN
bracis-28404	33	16	space	space	NOUN
bracis-28404	33	17	and	and	CCONJ
bracis-28404	33	18	realize	realize	VERB
bracis-28404	33	19	less	less	ADV
bracis-28404	33	20	random	random	ADJ
bracis-28404	33	21	modifications	modification	NOUN
bracis-28404	33	22	to	to	ADP
bracis-28404	33	23	the	the	DET
bracis-28404	33	24	solutions	solution	NOUN
bracis-28404	33	25	.	.	PUNCT
bracis-28404	34	1	generally	generally	ADV
bracis-28404	34	2	,	,	PUNCT
bracis-28404	34	3	valid	valid	ADJ
bracis-28404	34	4	inequalities	inequality	NOUN
bracis-28404	34	5	,	,	PUNCT
bracis-28404	34	6	optimality	optimality	NOUN
bracis-28404	34	7	cuts	cut	NOUN
bracis-28404	34	8	and	and	CCONJ
bracis-28404	34	9	optimality	optimality	NOUN
bracis-28404	34	10	conditions	condition	NOUN
bracis-28404	34	11	are	be	AUX
bracis-28404	34	12	used	use	VERB
bracis-28404	34	13	in	in	ADP
bracis-28404	34	14	exact	exact	ADJ
bracis-28404	34	15	approaches	approach	NOUN
bracis-28404	34	16	[	[	X
bracis-28404	34	17	8	8	NUM
bracis-28404	34	18	,	,	PUNCT
bracis-28404	34	19	9	9	NUM
bracis-28404	34	20	,	,	PUNCT
bracis-28404	34	21	25	25	NUM
bracis-28404	34	22	]	]	PUNCT
bracis-28404	34	23	.	.	PUNCT
bracis-28404	35	1	on	on	ADP
bracis-28404	35	2	the	the	DET
bracis-28404	35	3	other	other	ADJ
bracis-28404	35	4	hand	hand	NOUN
bracis-28404	35	5	,	,	PUNCT
bracis-28404	35	6	it	it	PRON
bracis-28404	35	7	is	be	AUX
bracis-28404	35	8	difficult	difficult	ADJ
bracis-28404	35	9	to	to	PART
bracis-28404	35	10	find	find	VERB
bracis-28404	35	11	and	and	CCONJ
bracis-28404	35	12	prove	prove	VERB
bracis-28404	35	13	these	these	DET
bracis-28404	35	14	cuts	cut	NOUN
bracis-28404	35	15	.	.	PUNCT
bracis-28404	36	1	also	also	ADV
bracis-28404	36	2	,	,	PUNCT
bracis-28404	36	3	considering	consider	VERB
bracis-28404	36	4	inequalities	inequality	NOUN
bracis-28404	36	5	that	that	PRON
bracis-28404	36	6	already	already	ADV
bracis-28404	36	7	exist	exist	VERB
bracis-28404	36	8	,	,	PUNCT
bracis-28404	36	9	it	it	PRON
bracis-28404	36	10	is	be	AUX
bracis-28404	36	11	difficult	difficult	ADJ
bracis-28404	36	12	to	to	PART
bracis-28404	36	13	efficiently	efficiently	ADV
bracis-28404	36	14	apply	apply	VERB
bracis-28404	36	15	them	they	PRON
bracis-28404	36	16	to	to	ADP
bracis-28404	36	17	optimization	optimization	NOUN
bracis-28404	36	18	problems	problem	NOUN
bracis-28404	36	19	.	.	PUNCT
bracis-28404	37	1	in	in	ADP
bracis-28404	37	2	this	this	DET
bracis-28404	37	3	paper	paper	NOUN
bracis-28404	37	4	,	,	PUNCT
bracis-28404	37	5	we	we	PRON
bracis-28404	37	6	developed	develop	VERB
bracis-28404	37	7	two	two	NUM
bracis-28404	37	8	variations	variation	NOUN
bracis-28404	37	9	of	of	ADP
bracis-28404	37	10	genetic	genetic	ADJ
bracis-28404	37	11	algorithms	algorithm	NOUN
bracis-28404	37	12	that	that	PRON
bracis-28404	37	13	use	use	VERB
bracis-28404	37	14	optimally	optimally	ADV
bracis-28404	37	15	cuts	cut	NOUN
bracis-28404	37	16	in	in	ADP
bracis-28404	37	17	their	their	PRON
bracis-28404	37	18	composition	composition	NOUN
bracis-28404	37	19	.	.	PUNCT
bracis-28404	38	1	the	the	DET
bracis-28404	38	2	first	first	ADJ
bracis-28404	38	3	one	one	NOUN
bracis-28404	38	4	uses	use	VERB
bracis-28404	38	5	the	the	DET
bracis-28404	38	6	optimally	optimally	ADJ
bracis-28404	38	7	cuts	cut	NOUN
bracis-28404	38	8	in	in	ADP
bracis-28404	38	9	the	the	DET
bracis-28404	38	10	generation	generation	NOUN
bracis-28404	38	11	of	of	ADP
bracis-28404	38	12	the	the	DET
bracis-28404	38	13	initial	initial	ADJ
bracis-28404	38	14	population	population	NOUN
bracis-28404	38	15	and	and	CCONJ
bracis-28404	38	16	also	also	ADV
bracis-28404	38	17	as	as	ADP
bracis-28404	38	18	a	a	DET
bracis-28404	38	19	modification	modification	NOUN
bracis-28404	38	20	(	(	PUNCT
bracis-28404	38	21	a	a	DET
bracis-28404	38	22	kind	kind	NOUN
bracis-28404	38	23	of	of	ADP
bracis-28404	38	24	mutation	mutation	NOUN
bracis-28404	38	25	)	)	PUNCT
bracis-28404	38	26	procedure	procedure	NOUN
bracis-28404	38	27	.	.	PUNCT
bracis-28404	39	1	the	the	DET
bracis-28404	39	2	second	second	ADJ
bracis-28404	39	3	uses	use	VERB
bracis-28404	39	4	the	the	DET
bracis-28404	39	5	optimally	optimally	ADV
bracis-28404	39	6	cuts	cut	NOUN
bracis-28404	39	7	in	in	ADP
bracis-28404	39	8	population	population	NOUN
bracis-28404	39	9	generation	generation	NOUN
bracis-28404	39	10	and	and	CCONJ
bracis-28404	39	11	also	also	ADV
bracis-28404	39	12	uses	use	VERB
bracis-28404	39	13	them	they	PRON
bracis-28404	39	14	as	as	ADP
bracis-28404	39	15	criterion	criterion	NOUN
bracis-28404	39	16	for	for	ADP
bracis-28404	39	17	choosing	choose	VERB
bracis-28404	39	18	candidates	candidate	NOUN
bracis-28404	39	19	to	to	PART
bracis-28404	39	20	compose	compose	VERB
bracis-28404	39	21	a	a	DET
bracis-28404	39	22	tabu	tabu	NOUN
bracis-28404	39	23	list	list	NOUN
bracis-28404	39	24	.	.	PUNCT
bracis-28404	40	1	the	the	DET
bracis-28404	40	2	main	main	ADJ
bracis-28404	40	3	difference	difference	NOUN
bracis-28404	40	4	between	between	ADP
bracis-28404	40	5	the	the	DET
bracis-28404	40	6	two	two	NUM
bracis-28404	40	7	versions	version	NOUN
bracis-28404	40	8	is	be	AUX
bracis-28404	40	9	the	the	DET
bracis-28404	40	10	effort	effort	NOUN
bracis-28404	40	11	spent	spend	VERB
bracis-28404	40	12	on	on	ADP
bracis-28404	40	13	generating	generate	VERB
bracis-28404	40	14	new	new	ADJ
bracis-28404	40	15	individuals	individual	NOUN
bracis-28404	40	16	.	.	PUNCT
bracis-28404	41	1	the	the	DET
bracis-28404	41	2	first	first	ADJ
bracis-28404	41	3	variant	variant	NOUN
bracis-28404	41	4	puts	put	VERB
bracis-28404	41	5	more	more	ADJ
bracis-28404	41	6	effort	effort	NOUN
bracis-28404	41	7	into	into	ADP
bracis-28404	41	8	generating	generate	VERB
bracis-28404	41	9	a	a	DET
bracis-28404	41	10	good	good	ADJ
bracis-28404	41	11	population	population	NOUN
bracis-28404	41	12	,	,	PUNCT
bracis-28404	41	13	using	use	VERB
bracis-28404	41	14	the	the	DET
bracis-28404	41	15	mutation	mutation	NOUN
bracis-28404	41	16	procedure	procedure	NOUN
bracis-28404	41	17	and	and	CCONJ
bracis-28404	41	18	local	local	ADJ
bracis-28404	41	19	search	search	NOUN
bracis-28404	41	20	,	,	PUNCT
bracis-28404	41	21	while	while	SCONJ
bracis-28404	41	22	the	the	DET
bracis-28404	41	23	second	second	ADJ
bracis-28404	41	24	version	version	NOUN
bracis-28404	41	25	puts	put	VERB
bracis-28404	41	26	more	more	ADJ
bracis-28404	41	27	effort	effort	NOUN
bracis-28404	41	28	into	into	ADP
bracis-28404	41	29	improving	improve	VERB
bracis-28404	41	30	the	the	DET
bracis-28404	41	31	value	value	NOUN
bracis-28404	41	32	of	of	ADP
bracis-28404	41	33	individuals	individual	NOUN
bracis-28404	41	34	through	through	ADP
bracis-28404	41	35	the	the	DET
bracis-28404	41	36	tabu	tabu	NOUN
bracis-28404	41	37	search	search	NOUN
bracis-28404	41	38	.	.	PUNCT
bracis-28404	42	1	the	the	DET
bracis-28404	42	2	main	main	ADJ
bracis-28404	42	3	contributions	contribution	NOUN
bracis-28404	42	4	of	of	ADP
bracis-28404	42	5	this	this	DET
bracis-28404	42	6	paper	paper	NOUN
bracis-28404	42	7	are	be	AUX
bracis-28404	42	8	thus	thus	ADV
bracis-28404	42	9	(	(	PUNCT
bracis-28404	42	10	1	1	X
bracis-28404	42	11	)	)	PUNCT
bracis-28404	42	12	the	the	DET
bracis-28404	42	13	use	use	NOUN
bracis-28404	42	14	of	of	ADP
bracis-28404	42	15	optimality	optimality	NOUN
bracis-28404	42	16	cuts	cut	NOUN
bracis-28404	42	17	obtained	obtain	VERB
bracis-28404	42	18	through	through	ADP
bracis-28404	42	19	the	the	DET
bracis-28404	42	20	study	study	NOUN
bracis-28404	42	21	of	of	ADP
bracis-28404	42	22	the	the	DET
bracis-28404	42	23	objective	objective	ADJ
bracis-28404	42	24	function	function	NOUN
bracis-28404	42	25	of	of	ADP
bracis-28404	42	26	a	a	DET
bracis-28404	42	27	quadratic	quadratic	ADJ
bracis-28404	42	28	programming	programming	NOUN
bracis-28404	42	29	model	model	NOUN
bracis-28404	42	30	for	for	ADP
bracis-28404	42	31	the	the	DET
bracis-28404	42	32	maximum	maximum	ADJ
bracis-28404	42	33	cut	cut	NOUN
bracis-28404	42	34	problem	problem	NOUN
bracis-28404	42	35	;	;	PUNCT
bracis-28404	42	36	(	(	PUNCT
bracis-28404	42	37	2	2	X
bracis-28404	42	38	)	)	PUNCT
bracis-28404	42	39	development	development	NOUN
bracis-28404	42	40	of	of	ADP
bracis-28404	42	41	genetic	genetic	ADJ
bracis-28404	42	42	algorithms	algorithm	NOUN
bracis-28404	42	43	that	that	PRON
bracis-28404	42	44	incorporate	incorporate	VERB
bracis-28404	42	45	optimality	optimality	NOUN
bracis-28404	42	46	cuts	cut	NOUN
bracis-28404	42	47	to	to	PART
bracis-28404	42	48	guide	guide	VERB
bracis-28404	42	49	the	the	DET
bracis-28404	42	50	search	search	NOUN
bracis-28404	42	51	for	for	ADP
bracis-28404	42	52	better	well	ADJ
bracis-28404	42	53	solutions	solution	NOUN
bracis-28404	42	54	;	;	PUNCT
bracis-28404	42	55	and	and	CCONJ
bracis-28404	42	56	(	(	PUNCT
bracis-28404	42	57	3	3	X
bracis-28404	42	58	)	)	PUNCT
bracis-28404	42	59	the	the	DET
bracis-28404	42	60	genetic	genetic	ADJ
bracis-28404	42	61	algorithm	algorithm	NOUN
bracis-28404	42	62	that	that	PRON
bracis-28404	42	63	incorporated	incorporate	VERB
bracis-28404	42	64	optimality	optimality	NOUN
bracis-28404	42	65	cuts	cut	NOUN
bracis-28404	42	66	in	in	ADP
bracis-28404	42	67	the	the	DET
bracis-28404	42	68	population	population	NOUN
bracis-28404	42	69	generation	generation	NOUN
bracis-28404	42	70	was	be	AUX
bracis-28404	42	71	able	able	ADJ
bracis-28404	42	72	to	to	PART
bracis-28404	42	73	improve	improve	VERB
bracis-28404	42	74	the	the	DET
bracis-28404	42	75	state	state	NOUN
bracis-28404	42	76	-	-	PUNCT
bracis-28404	42	77	of	of	ADP
bracis-28404	42	78	-	-	PUNCT
bracis-28404	42	79	the	the	DET
bracis-28404	42	80	-	-	PUNCT
bracis-28404	42	81	art	art	NOUN
bracis-28404	42	82	value	value	NOUN
bracis-28404	42	83	for	for	ADP
bracis-28404	42	84	the	the	DET
bracis-28404	42	85	g51	g51	ADJ
bracis-28404	42	86	instance	instance	NOUN
bracis-28404	42	87	and	and	CCONJ
bracis-28404	42	88	find	find	VERB
bracis-28404	42	89	the	the	DET
bracis-28404	42	90	same	same	ADJ
bracis-28404	42	91	solutions	solution	NOUN
bracis-28404	42	92	as	as	ADP
bracis-28404	42	93	the	the	DET
bracis-28404	42	94	literature	literature	NOUN
bracis-28404	42	95	in	in	ADP
bracis-28404	42	96	31	31	NUM
bracis-28404	42	97	other	other	ADJ
bracis-28404	42	98	instances	instance	NOUN
bracis-28404	42	99	.	.	PUNCT
bracis-28404	43	1	the	the	DET
bracis-28404	43	2	remaining	remain	VERB
bracis-28404	43	3	sections	section	NOUN
bracis-28404	43	4	of	of	ADP
bracis-28404	43	5	this	this	DET
bracis-28404	43	6	paper	paper	NOUN
bracis-28404	43	7	are	be	AUX
bracis-28404	43	8	organized	organize	VERB
bracis-28404	43	9	as	as	SCONJ
bracis-28404	43	10	follows	follow	VERB
bracis-28404	43	11	.	.	PUNCT
bracis-28404	44	1	the	the	DET
bracis-28404	44	2	optimality	optimality	NOUN
bracis-28404	44	3	cuts	cut	NOUN
bracis-28404	44	4	used	use	VERB
bracis-28404	44	5	are	be	AUX
bracis-28404	44	6	presented	present	VERB
bracis-28404	44	7	and	and	CCONJ
bracis-28404	44	8	proved	prove	VERB
bracis-28404	44	9	in	in	ADP
bracis-28404	44	10	sect	sect	NOUN
bracis-28404	44	11	.	.	PUNCT
bracis-28404	44	12	 	 	SPACE
bracis-28404	45	1	2	2	X
bracis-28404	45	2	.	.	PUNCT
bracis-28404	45	3	in	in	ADP
bracis-28404	45	4	sect	sect	NOUN
bracis-28404	45	5	.	.	PUNCT
bracis-28404	45	6	 	 	SPACE
bracis-28404	46	1	3	3	NUM
bracis-28404	46	2	,	,	PUNCT
bracis-28404	46	3	we	we	PRON
bracis-28404	46	4	present	present	VERB
bracis-28404	46	5	how	how	SCONJ
bracis-28404	46	6	we	we	PRON
bracis-28404	46	7	used	use	VERB
bracis-28404	46	8	the	the	DET
bracis-28404	46	9	optimally	optimally	ADV
bracis-28404	46	10	cuts	cut	NOUN
bracis-28404	46	11	in	in	ADP
bracis-28404	46	12	the	the	DET
bracis-28404	46	13	composition	composition	NOUN
bracis-28404	46	14	of	of	ADP
bracis-28404	46	15	the	the	DET
bracis-28404	46	16	two	two	NUM
bracis-28404	46	17	variants	variant	NOUN
bracis-28404	46	18	of	of	ADP
bracis-28404	46	19	the	the	DET
bracis-28404	46	20	genetic	genetic	ADJ
bracis-28404	46	21	algorithm	algorithm	NOUN
bracis-28404	46	22	.	.	PUNCT
bracis-28404	47	1	section	section	NOUN
bracis-28404	47	2	 	 	SPACE
bracis-28404	47	3	4	4	NUM
bracis-28404	47	4	contains	contain	VERB
bracis-28404	47	5	the	the	DET
bracis-28404	47	6	computational	computational	ADJ
bracis-28404	47	7	results	result	NOUN
bracis-28404	47	8	.	.	PUNCT
bracis-28404	48	1	finally	finally	ADV
bracis-28404	48	2	,	,	PUNCT
bracis-28404	48	3	sect	sect	NOUN
bracis-28404	48	4	.	.	PUNCT
bracis-28404	48	5	 	 	SPACE
bracis-28404	48	6	5	5	NUM
bracis-28404	48	7	concludes	conclude	VERB
bracis-28404	48	8	the	the	DET
bracis-28404	48	9	paper	paper	NOUN
bracis-28404	48	10	,	,	PUNCT
bracis-28404	48	11	with	with	ADP
bracis-28404	48	12	our	our	PRON
bracis-28404	48	13	final	final	ADJ
bracis-28404	48	14	remarks	remark	NOUN
bracis-28404	48	15	.	.	PUNCT
bracis-28404	49	1	2	2	NUM
bracis-28404	49	2	optimality	optimality	NOUN
bracis-28404	49	3	cuts	cut	NOUN
bracis-28404	49	4	for	for	ADP
bracis-28404	49	5	max	max	PROPN
bracis-28404	49	6	-	-	PUNCT
bracis-28404	49	7	cut	cut	NOUN
bracis-28404	49	8	let	let	VERB
bracis-28404	49	9	\	\	PROPN
bracis-28404	49	10	(	(	PUNCT
bracis-28404	49	11	(	(	PUNCT
bracis-28404	49	12	s	s	X
bracis-28404	49	13	,	,	PUNCT
bracis-28404	49	14	\bar{s	\bar{s	PROPN
bracis-28404	49	15	}	}	PUNCT
bracis-28404	49	16	)	)	PUNCT
bracis-28404	50	1	\	\	NOUN
bracis-28404	50	2	)	)	PUNCT
bracis-28404	50	3	be	be	AUX
bracis-28404	50	4	a	a	DET
bracis-28404	50	5	partition	partition	NOUN
bracis-28404	50	6	represented	represent	VERB
bracis-28404	50	7	by	by	ADP
bracis-28404	50	8	the	the	DET
bracis-28404	50	9	binary	binary	PROPN
bracis-28404	50	10	vector	vector	PROPN
bracis-28404	50	11	\(x	\(x	PROPN
bracis-28404	50	12	\in	\in	PROPN
bracis-28404	50	13	\	\	PROPN
bracis-28404	50	14	{	{	PUNCT
bracis-28404	50	15	0,1	0,1	NUM
bracis-28404	50	16	\}^n	\}^n	VERB
bracis-28404	50	17	\	\	NOUN
bracis-28404	50	18	)	)	PUNCT
bracis-28404	50	19	with	with	ADP
bracis-28404	50	20	\	\	PROPN
bracis-28404	50	21	(	(	PUNCT
bracis-28404	50	22	x_i	x_i	PUNCT
bracis-28404	50	23	=	=	SYM
bracis-28404	50	24	0	0	NUM
bracis-28404	50	25	\	\	NOUN
bracis-28404	50	26	)	)	PUNCT
bracis-28404	50	27	if	if	SCONJ
bracis-28404	50	28	\(i	\(i	PROPN
bracis-28404	50	29	\in	\in	PROPN
bracis-28404	50	30	s	s	PART
bracis-28404	50	31	\	\	NOUN
bracis-28404	50	32	)	)	PUNCT
bracis-28404	50	33	and	and	CCONJ
bracis-28404	50	34	\(x_i	\(x_i	PROPN
bracis-28404	50	35	=	=	SYM
bracis-28404	50	36	1\	1\	NUM
bracis-28404	50	37	)	)	PUNCT
bracis-28404	50	38	otherwise	otherwise	ADV
bracis-28404	50	39	,	,	PUNCT
bracis-28404	50	40	\	\	PROPN
bracis-28404	50	41	(	(	PUNCT
bracis-28404	50	42	\forall	\forall	INTJ
bracis-28404	50	43	i	i	PRON
bracis-28404	50	44	=	=	SYM
bracis-28404	50	45	\{1	\{1	NUM
bracis-28404	50	46	,	,	PUNCT
bracis-28404	50	47	\dots	\dot	NOUN
bracis-28404	50	48	,	,	PUNCT
bracis-28404	50	49	n\}\	n\}\	NOUN
bracis-28404	50	50	)	)	PUNCT
bracis-28404	50	51	and	and	CCONJ
bracis-28404	50	52	let	let	VERB
bracis-28404	50	53	\(\bar{x}_j	\(\bar{x}_j	NOUN
bracis-28404	50	54	=	=	NOUN
bracis-28404	50	55	1	1	NUM
bracis-28404	50	56	x_j	x_j	PUNCT
bracis-28404	50	57	\	\	NOUN
bracis-28404	50	58	)	)	PUNCT
bracis-28404	50	59	,	,	PUNCT
bracis-28404	50	60	\	\	PROPN
bracis-28404	50	61	(	(	PUNCT
bracis-28404	50	62	\forall	\forall	PRON
bracis-28404	50	63	j	j	NOUN
bracis-28404	50	64	=	=	SYM
bracis-28404	50	65	\{1	\{1	PROPN
bracis-28404	50	66	,	,	PUNCT
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bracis-28404	53	1	_	_	PUNCT
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bracis-28404	53	11	+	+	CCONJ
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bracis-28404	61	4	in	in	ADP
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bracis-28404	61	20	we	we	PRON
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bracis-28404	61	31	lemma	lemma	PROPN
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bracis-28404	82	3	\sum	\sum	NOUN
bracis-28404	82	4	_	_	PUNCT
bracis-28404	82	5	{	{	PUNCT
bracis-28404	82	6	\begin{array}{c	\begin{array}{c	PROPN
bracis-28404	82	7	}	}	PUNCT
bracis-28404	82	8	j	j	PROPN
bracis-28404	82	9	\ne	\ne	PROPN
bracis-28404	82	10	k	k	PROPN
bracis-28404	82	11	\end{array	\end{array	ADJ
bracis-28404	82	12	}	}	PUNCT
bracis-28404	82	13	}	}	PUNCT
bracis-28404	82	14	-c_{kj}(1	-c_{kj}(1	PROPN
bracis-28404	82	15	2x^*_j	2x^*_j	NUM
bracis-28404	82	16	)	)	PUNCT
bracis-28404	82	17	=	=	SYM
bracis-28404	82	18	-\displaystyle	-\displaystyle	PROPN
bracis-28404	82	19	\sum	\sum	NOUN
bracis-28404	82	20	_	_	PUNCT
bracis-28404	82	21	{	{	PUNCT
bracis-28404	82	22	\begin{array}{c	\begin{array}{c	PROPN
bracis-28404	82	23	}	}	PUNCT
bracis-28404	82	24	j	j	PROPN
bracis-28404	82	25	\ne	\ne	PROPN
bracis-28404	82	26	k	k	PROPN
bracis-28404	82	27	\end{array	\end{array	ADJ
bracis-28404	82	28	}	}	PUNCT
bracis-28404	82	29	}	}	PUNCT
bracis-28404	82	30	c_{kj	c_{kj	NOUN
bracis-28404	82	31	}	}	PUNCT
bracis-28404	82	32	+	+	CCONJ
bracis-28404	82	33	2	2	NUM
bracis-28404	82	34	\sum	\sum	NOUN
bracis-28404	82	35	_	_	PUNCT
bracis-28404	82	36	{	{	PUNCT
bracis-28404	82	37	\begin{array}{c	\begin{array}{c	PROPN
bracis-28404	82	38	}	}	PUNCT
bracis-28404	82	39	j	j	PROPN
bracis-28404	82	40	\ne	\ne	PROPN
bracis-28404	82	41	k	k	PROPN
bracis-28404	83	1	\end{array	\end{array	PROPN
bracis-28404	83	2	}	}	PUNCT
bracis-28404	83	3	}	}	PUNCT
bracis-28404	83	4	c_{kj}x^*_j	c_{kj}x^*_j	X
bracis-28404	83	5	=	=	SYM
bracis-28404	83	6	-c_k	-c_k	PART
bracis-28404	83	7	+	+	CCONJ
bracis-28404	83	8	2c_k(x^*).$$	2c_k(x^*).$$	NUM
bracis-28404	83	9	showing	show	VERB
bracis-28404	83	10	the	the	DET
bracis-28404	83	11	first	first	ADJ
bracis-28404	83	12	implication	implication	NOUN
bracis-28404	83	13	.	.	PUNCT
bracis-28404	84	1	to	to	PART
bracis-28404	84	2	confirm	confirm	VERB
bracis-28404	84	3	the	the	DET
bracis-28404	84	4	second	second	ADJ
bracis-28404	84	5	claim	claim	NOUN
bracis-28404	84	6	of	of	ADP
bracis-28404	84	7	item	item	NOUN
bracis-28404	84	8	1	1	NUM
bracis-28404	84	9	in	in	ADP
bracis-28404	84	10	the	the	DET
bracis-28404	84	11	corollary	corollary	ADJ
bracis-28404	84	12	1	1	NUM
bracis-28404	84	13	,	,	PUNCT
bracis-28404	84	14	consider	consider	VERB
bracis-28404	84	15	\(x^*_k	\(x^*_k	PROPN
bracis-28404	84	16	=	=	SYM
bracis-28404	84	17	0\	0\	PROPN
bracis-28404	84	18	)	)	PUNCT
bracis-28404	84	19	.	.	PUNCT
bracis-28404	85	1	again	again	ADV
bracis-28404	85	2	,	,	PUNCT
bracis-28404	85	3	by	by	ADP
bracis-28404	85	4	lemma	lemma	PROPN
bracis-28404	85	5	1	1	NUM
bracis-28404	85	6	we	we	PRON
bracis-28404	85	7	have	have	VERB
bracis-28404	85	8	$	$	SYM
bracis-28404	85	9	$	$	SYM
bracis-28404	85	10	q(\bar{x	q(\bar{x	PROPN
bracis-28404	85	11	}	}	PUNCT
bracis-28404	85	12	)	)	PUNCT
bracis-28404	85	13	q(x^	q(x^	NOUN
bracis-28404	85	14	*	*	PUNCT
bracis-28404	85	15	)	)	PUNCT
bracis-28404	86	1	=	=	SYM
bracis-28404	86	2	\displaystyle	\displaystyle	PROPN
bracis-28404	86	3	\sum	\sum	NOUN
bracis-28404	86	4	_	_	PUNCT
bracis-28404	86	5	{	{	PUNCT
bracis-28404	86	6	\begin{array}{c	\begin{array}{c	PROPN
bracis-28404	86	7	}	}	PUNCT
bracis-28404	86	8	j	j	PROPN
bracis-28404	86	9	\ne	\ne	PROPN
bracis-28404	86	10	k	k	PROPN
bracis-28404	86	11	\end{array	\end{array	PROPN
bracis-28404	86	12	}	}	PUNCT
bracis-28404	86	13	}	}	PUNCT
bracis-28404	86	14	c_{kj}(1	c_{kj}(1	PROPN
bracis-28404	86	15	2x_j	2x_j	NUM
bracis-28404	86	16	)	)	PUNCT
bracis-28404	86	17	=	=	SYM
bracis-28404	86	18	c_k	c_k	SYM
bracis-28404	86	19	2	2	NUM
bracis-28404	86	20	c_k(x^	c_k(x^	NOUN
bracis-28404	86	21	*	*	NOUN
bracis-28404	86	22	)	)	PUNCT
bracis-28404	86	23	\le	\le	NOUN
bracis-28404	86	24	0.$$	0.$$	NOUN
bracis-28404	86	25	   	   	SPACE
bracis-28404	86	26	\(\blacksquare	\(\blacksquare	NOUN
bracis-28404	86	27	\	\	NOUN
bracis-28404	86	28	)	)	PUNCT
bracis-28404	86	29	the	the	DET
bracis-28404	86	30	proof	proof	NOUN
bracis-28404	86	31	of	of	ADP
bracis-28404	86	32	item	item	NOUN
bracis-28404	86	33	2	2	NUM
bracis-28404	86	34	in	in	ADP
bracis-28404	86	35	the	the	DET
bracis-28404	86	36	corollary	corollary	ADJ
bracis-28404	86	37	1	1	NUM
bracis-28404	86	38	will	will	AUX
bracis-28404	86	39	be	be	AUX
bracis-28404	86	40	omitted	omit	VERB
bracis-28404	86	41	as	as	SCONJ
bracis-28404	86	42	it	it	PRON
bracis-28404	86	43	utilizes	utilize	VERB
bracis-28404	86	44	the	the	DET
bracis-28404	86	45	same	same	ADJ
bracis-28404	86	46	arguments	argument	NOUN
bracis-28404	86	47	as	as	ADP
bracis-28404	86	48	item	item	NOUN
bracis-28404	86	49	1	1	NUM
bracis-28404	86	50	.	.	SYM
bracis-28404	86	51	3	3	NUM
bracis-28404	86	52	developed	develop	VERB
bracis-28404	86	53	algorithms	algorithm	NOUN
bracis-28404	86	54	in	in	ADP
bracis-28404	86	55	this	this	DET
bracis-28404	86	56	section	section	NOUN
bracis-28404	86	57	,	,	PUNCT
bracis-28404	86	58	we	we	PRON
bracis-28404	86	59	describe	describe	VERB
bracis-28404	86	60	the	the	DET
bracis-28404	86	61	strategy	strategy	NOUN
bracis-28404	86	62	for	for	ADP
bracis-28404	86	63	encoding	encode	VERB
bracis-28404	86	64	the	the	DET
bracis-28404	86	65	optimality	optimality	NOUN
bracis-28404	86	66	cuts	cut	NOUN
bracis-28404	86	67	and	and	CCONJ
bracis-28404	86	68	how	how	SCONJ
bracis-28404	86	69	they	they	PRON
bracis-28404	86	70	will	will	AUX
bracis-28404	86	71	be	be	AUX
bracis-28404	86	72	used	use	VERB
bracis-28404	86	73	in	in	ADP
bracis-28404	86	74	conjunction	conjunction	NOUN
bracis-28404	86	75	with	with	ADP
bracis-28404	86	76	the	the	DET
bracis-28404	86	77	genetic	genetic	ADJ
bracis-28404	86	78	algorithms	algorithm	NOUN
bracis-28404	86	79	,	,	PUNCT
bracis-28404	86	80	as	as	ADV
bracis-28404	86	81	well	well	ADV
bracis-28404	86	82	as	as	ADP
bracis-28404	86	83	the	the	DET
bracis-28404	86	84	main	main	ADJ
bracis-28404	86	85	ideas	idea	NOUN
bracis-28404	86	86	and	and	CCONJ
bracis-28404	86	87	pseudocodes	pseudocode	NOUN
bracis-28404	86	88	of	of	ADP
bracis-28404	86	89	the	the	DET
bracis-28404	86	90	algorithms	algorithm	NOUN
bracis-28404	86	91	.	.	PUNCT
bracis-28404	87	1	to	to	PART
bracis-28404	87	2	exemplify	exemplify	VERB
bracis-28404	87	3	the	the	DET
bracis-28404	87	4	use	use	NOUN
bracis-28404	87	5	of	of	ADP
bracis-28404	87	6	the	the	DET
bracis-28404	87	7	optimality	optimality	NOUN
bracis-28404	87	8	cuts	cut	NOUN
bracis-28404	87	9	,	,	PUNCT
bracis-28404	87	10	consider	consider	VERB
bracis-28404	87	11	the	the	DET
bracis-28404	87	12	graph	graph	NOUN
bracis-28404	87	13	g	g	PROPN
bracis-28404	87	14	of	of	ADP
bracis-28404	87	15	fig	fig	NOUN
bracis-28404	87	16	.	.	PUNCT
bracis-28404	87	17	 	 	SPACE
bracis-28404	88	1	1	1	X
bracis-28404	88	2	.	.	PUNCT
bracis-28404	88	3	each	each	DET
bracis-28404	88	4	cut	cut	NOUN
bracis-28404	88	5	in	in	ADP
bracis-28404	88	6	g	g	PROPN
bracis-28404	88	7	is	be	AUX
bracis-28404	88	8	a	a	DET
bracis-28404	88	9	binary	binary	ADJ
bracis-28404	88	10	vector	vector	NOUN
bracis-28404	88	11	where	where	SCONJ
bracis-28404	88	12	each	each	DET
bracis-28404	88	13	position	position	NOUN
bracis-28404	88	14	represents	represent	VERB
bracis-28404	88	15	a	a	DET
bracis-28404	88	16	vertex	vertex	NOUN
bracis-28404	88	17	and	and	CCONJ
bracis-28404	88	18	the	the	DET
bracis-28404	88	19	value	value	NOUN
bracis-28404	88	20	at	at	ADP
bracis-28404	88	21	the	the	DET
bracis-28404	88	22	position	position	NOUN
bracis-28404	88	23	represents	represent	VERB
bracis-28404	88	24	the	the	DET
bracis-28404	88	25	set	set	NOUN
bracis-28404	88	26	to	to	PART
bracis-28404	88	27	which	which	PRON
bracis-28404	88	28	the	the	DET
bracis-28404	88	29	vertex	vertex	NOUN
bracis-28404	88	30	belongs	belong	VERB
bracis-28404	88	31	:	:	PUNCT
bracis-28404	88	32	if	if	SCONJ
bracis-28404	88	33	\(v	\(v	NUM
bracis-28404	88	34	\in	\in	PROPN
bracis-28404	88	35	s	s	PROPN
bracis-28404	88	36	,	,	PUNCT
bracis-28404	88	37	x_v	x_v	PROPN
bracis-28404	88	38	=	=	SYM
bracis-28404	88	39	0\	0\	PROPN
bracis-28404	88	40	)	)	PUNCT
bracis-28404	88	41	,	,	PUNCT
bracis-28404	88	42	otherwise	otherwise	ADV
bracis-28404	88	43	\(v	\(v	VERB
bracis-28404	88	44	\in	\in	PROPN
bracis-28404	88	45	\bar{s}\	\bar{s}\	NUM
bracis-28404	88	46	)	)	PUNCT
bracis-28404	88	47	and	and	CCONJ
bracis-28404	88	48	\(x_v	\(x_v	NOUN
bracis-28404	88	49	=	=	SYM
bracis-28404	88	50	1\	1\	NUM
bracis-28404	88	51	)	)	PUNCT
bracis-28404	88	52	.	.	PUNCT
bracis-28404	89	1	let	let	VERB
bracis-28404	89	2	\(x^	\(x^	ADV
bracis-28404	89	3	*	*	PUNCT
bracis-28404	90	1	=	=	PUNCT
bracis-28404	91	1	[	[	X
bracis-28404	91	2	0,0,0,1,1]\	0,0,0,1,1]\	NUM
bracis-28404	91	3	)	)	PUNCT
bracis-28404	91	4	be	be	VERB
bracis-28404	91	5	the	the	DET
bracis-28404	91	6	binary	binary	ADJ
bracis-28404	91	7	vector	vector	NOUN
bracis-28404	91	8	that	that	PRON
bracis-28404	91	9	represents	represent	VERB
bracis-28404	91	10	the	the	DET
bracis-28404	91	11	cut	cut	NOUN
bracis-28404	91	12	\((s,\bar{s})\	\((s,\bar{s})\	NOUN
bracis-28404	91	13	)	)	PUNCT
bracis-28404	91	14	on	on	ADP
bracis-28404	91	15	g	g	PROPN
bracis-28404	91	16	in	in	ADP
bracis-28404	91	17	fig	fig	NOUN
bracis-28404	91	18	.	.	PUNCT
bracis-28404	91	19	 	 	SPACE
bracis-28404	92	1	1	1	X
bracis-28404	92	2	.	.	PUNCT
bracis-28404	93	1	it	it	PRON
bracis-28404	93	2	is	be	AUX
bracis-28404	93	3	worth	worth	ADJ
bracis-28404	93	4	noting	note	VERB
bracis-28404	93	5	that	that	SCONJ
bracis-28404	93	6	the	the	DET
bracis-28404	93	7	vector	vector	NOUN
bracis-28404	93	8	\(x^*\	\(x^*\	X
bracis-28404	93	9	)	)	PUNCT
bracis-28404	93	10	represents	represent	VERB
bracis-28404	93	11	an	an	DET
bracis-28404	93	12	optimal	optimal	ADJ
bracis-28404	93	13	solution	solution	NOUN
bracis-28404	93	14	for	for	ADP
bracis-28404	93	15	g.	g.	PROPN
bracis-28404	93	16	we	we	PRON
bracis-28404	93	17	have	have	VERB
bracis-28404	93	18	\(c_4	\(c_4	PROPN
bracis-28404	93	19	=	=	SYM
bracis-28404	93	20	c_{41}+c_{42}+c_{43}+c_{45	c_{41}+c_{42}+c_{43}+c_{45	PROPN
bracis-28404	93	21	}	}	PUNCT
bracis-28404	94	1	=	=	SYM
bracis-28404	94	2	36\	36\	NUM
bracis-28404	94	3	)	)	PUNCT
bracis-28404	94	4	,	,	PUNCT
bracis-28404	94	5	\(c_4(x^	\(c_4(x^	ADP
bracis-28404	94	6	*	*	NOUN
bracis-28404	94	7	)	)	PUNCT
bracis-28404	94	8	=	=	PUNCT
bracis-28404	95	1	c_{41}x^*_1+c_{42}x^*_2+c_{43}x^*_3+c_{45}x^*_5	c_{41}x^*_1+c_{42}x^*_2+c_{43}x^*_3+c_{45}x^*_5	NOUN
bracis-28404	95	2	=	=	NOUN
bracis-28404	95	3	6\	6\	NOUN
bracis-28404	95	4	)	)	PUNCT
bracis-28404	95	5	,	,	PUNCT
bracis-28404	95	6	\(x^*_4	\(x^*_4	NOUN
bracis-28404	95	7	=	=	SYM
bracis-28404	95	8	1\	1\	NUM
bracis-28404	95	9	)	)	PUNCT
bracis-28404	95	10	and	and	CCONJ
bracis-28404	95	11	\(c_4(x^	\(c_4(x^	ADP
bracis-28404	95	12	{	{	PUNCT
bracis-28404	95	13	*	*	NOUN
bracis-28404	95	14	}	}	PUNCT
bracis-28404	95	15	)	)	PUNCT
bracis-28404	95	16	\le	\le	PROPN
bracis-28404	95	17	c_4/2\	c_4/2\	PROPN
bracis-28404	95	18	)	)	PUNCT
bracis-28404	95	19	.	.	PUNCT
bracis-28404	96	1	for	for	ADP
bracis-28404	96	2	this	this	DET
bracis-28404	96	3	example	example	NOUN
bracis-28404	96	4	,	,	PUNCT
bracis-28404	96	5	it	it	PRON
bracis-28404	96	6	is	be	AUX
bracis-28404	96	7	easy	easy	ADJ
bracis-28404	96	8	to	to	PART
bracis-28404	96	9	see	see	VERB
bracis-28404	96	10	that	that	DET
bracis-28404	96	11	\(x^*\	\(x^*\	X
bracis-28404	96	12	)	)	PUNCT
bracis-28404	96	13	is	be	AUX
bracis-28404	96	14	satisfied	satisfied	ADJ
bracis-28404	96	15	by	by	ADP
bracis-28404	96	16	the	the	DET
bracis-28404	96	17	optimality	optimality	NOUN
bracis-28404	96	18	cut	cut	NOUN
bracis-28404	96	19	.	.	PUNCT
bracis-28404	97	1	we	we	PRON
bracis-28404	97	2	know	know	VERB
bracis-28404	97	3	that	that	SCONJ
bracis-28404	97	4	these	these	DET
bracis-28404	97	5	inequalities	inequality	NOUN
bracis-28404	97	6	hold	hold	VERB
bracis-28404	97	7	to	to	ADP
bracis-28404	97	8	any	any	DET
bracis-28404	97	9	optimal	optimal	ADJ
bracis-28404	97	10	solution	solution	NOUN
bracis-28404	97	11	,	,	PUNCT
bracis-28404	97	12	and	and	CCONJ
bracis-28404	97	13	if	if	SCONJ
bracis-28404	97	14	we	we	PRON
bracis-28404	97	15	modify	modify	VERB
bracis-28404	97	16	,	,	PUNCT
bracis-28404	97	17	for	for	ADP
bracis-28404	97	18	example	example	NOUN
bracis-28404	97	19	,	,	PUNCT
bracis-28404	97	20	the	the	DET
bracis-28404	97	21	vertex	vertex	NOUN
bracis-28404	97	22	5	5	NUM
bracis-28404	97	23	in	in	ADP
bracis-28404	97	24	set	set	VERB
bracis-28404	97	25	\(\bar{s}\	\(\bar{s}\	PROPN
bracis-28404	97	26	)	)	PUNCT
bracis-28404	97	27	to	to	ADP
bracis-28404	97	28	the	the	DET
bracis-28404	97	29	set	set	PROPN
bracis-28404	97	30	s	s	PROPN
bracis-28404	97	31	,	,	PUNCT
bracis-28404	97	32	the	the	DET
bracis-28404	97	33	inequalities	inequality	NOUN
bracis-28404	97	34	of	of	ADP
bracis-28404	97	35	vertices	vertex	NOUN
bracis-28404	97	36	\(\{1,2,3,4\}\	\(\{1,2,3,4\}\	PROPN
bracis-28404	97	37	)	)	PUNCT
bracis-28404	97	38	still	still	ADV
bracis-28404	97	39	satisfy	satisfy	VERB
bracis-28404	97	40	the	the	DET
bracis-28404	97	41	optimality	optimality	NOUN
bracis-28404	97	42	cuts	cut	NOUN
bracis-28404	97	43	,	,	PUNCT
bracis-28404	97	44	however	however	ADV
bracis-28404	97	45	the	the	DET
bracis-28404	97	46	new	new	ADJ
bracis-28404	97	47	inequality	inequality	NOUN
bracis-28404	97	48	that	that	PRON
bracis-28404	97	49	represents	represent	VERB
bracis-28404	97	50	vertex	vertex	NOUN
bracis-28404	97	51	5	5	NUM
bracis-28404	97	52	it	it	PRON
bracis-28404	97	53	is	be	AUX
bracis-28404	97	54	infeasible	infeasible	ADJ
bracis-28404	97	55	,	,	PUNCT
bracis-28404	97	56	ensuring	ensure	VERB
bracis-28404	97	57	that	that	SCONJ
bracis-28404	97	58	the	the	DET
bracis-28404	97	59	new	new	ADJ
bracis-28404	97	60	cut	cut	NOUN
bracis-28404	97	61	is	be	AUX
bracis-28404	97	62	not	not	PART
bracis-28404	97	63	optimal	optimal	ADJ
bracis-28404	97	64	.	.	PUNCT
bracis-28404	98	1	the	the	DET
bracis-28404	98	2	algorithm	algorithm	NOUN
bracis-28404	98	3	 	 	SPACE
bracis-28404	98	4	1	1	NUM
bracis-28404	98	5	presents	present	VERB
bracis-28404	98	6	the	the	DET
bracis-28404	98	7	procedure	procedure	NOUN
bracis-28404	98	8	that	that	PRON
bracis-28404	98	9	uses	use	VERB
bracis-28404	98	10	optimality	optimality	NOUN
bracis-28404	98	11	cuts	cut	NOUN
bracis-28404	98	12	to	to	PART
bracis-28404	98	13	modify	modify	VERB
bracis-28404	98	14	a	a	DET
bracis-28404	98	15	vector	vector	NOUN
bracis-28404	98	16	x.	x.	NOUN
bracis-28404	99	1	the	the	DET
bracis-28404	99	2	computation	computation	NOUN
bracis-28404	99	3	of	of	ADP
bracis-28404	99	4	\(c_k\	\(c_k\	NOUN
bracis-28404	99	5	)	)	PUNCT
bracis-28404	100	1	values	value	NOUN
bracis-28404	100	2	is	be	AUX
bracis-28404	100	3	performed	perform	VERB
bracis-28404	100	4	only	only	ADV
bracis-28404	100	5	once	once	ADV
bracis-28404	100	6	and	and	CCONJ
bracis-28404	100	7	their	their	PRON
bracis-28404	100	8	values	value	NOUN
bracis-28404	100	9	do	do	AUX
bracis-28404	100	10	not	not	PART
bracis-28404	100	11	change	change	VERB
bracis-28404	100	12	during	during	ADP
bracis-28404	100	13	the	the	DET
bracis-28404	100	14	execution	execution	NOUN
bracis-28404	100	15	of	of	ADP
bracis-28404	100	16	the	the	DET
bracis-28404	100	17	algorithm	algorithm	NOUN
bracis-28404	100	18	;	;	PUNCT
bracis-28404	100	19	this	this	PRON
bracis-28404	100	20	allows	allow	VERB
bracis-28404	100	21	the	the	DET
bracis-28404	100	22	calculation	calculation	NOUN
bracis-28404	100	23	to	to	PART
bracis-28404	100	24	be	be	AUX
bracis-28404	100	25	done	do	VERB
bracis-28404	100	26	at	at	ADP
bracis-28404	100	27	the	the	DET
bracis-28404	100	28	instance	instance	NOUN
bracis-28404	100	29	loading	loading	NOUN
bracis-28404	100	30	step	step	NOUN
bracis-28404	100	31	,	,	PUNCT
bracis-28404	100	32	prior	prior	ADV
bracis-28404	100	33	to	to	ADP
bracis-28404	100	34	algorithm	algorithm	NOUN
bracis-28404	100	35	 	 	SPACE
bracis-28404	100	36	1	1	NUM
bracis-28404	100	37	.	.	PUNCT
bracis-28404	101	1	however	however	ADV
bracis-28404	101	2	,	,	PUNCT
bracis-28404	101	3	\(c_k(x)\	\(c_k(x)\	NUM
bracis-28404	101	4	)	)	PUNCT
bracis-28404	101	5	values	value	NOUN
bracis-28404	101	6	are	be	AUX
bracis-28404	101	7	calculated	calculate	VERB
bracis-28404	101	8	dynamically	dynamically	ADV
bracis-28404	101	9	and	and	CCONJ
bracis-28404	101	10	it	it	PRON
bracis-28404	101	11	must	must	AUX
bracis-28404	101	12	be	be	AUX
bracis-28404	101	13	computed	compute	VERB
bracis-28404	101	14	according	accord	VERB
bracis-28404	101	15	to	to	ADP
bracis-28404	101	16	the	the	DET
bracis-28404	101	17	values	value	NOUN
bracis-28404	101	18	of	of	ADP
bracis-28404	101	19	the	the	DET
bracis-28404	101	20	current	current	ADJ
bracis-28404	101	21	x	x	SYM
bracis-28404	101	22	vector	vector	NOUN
bracis-28404	101	23	.	.	PUNCT
bracis-28404	102	1	the	the	DET
bracis-28404	102	2	computation	computation	NOUN
bracis-28404	102	3	of	of	ADP
bracis-28404	102	4	\(c_k(x)\	\(c_k(x)\	ADJ
bracis-28404	102	5	)	)	PUNCT
bracis-28404	102	6	for	for	ADP
bracis-28404	102	7	each	each	DET
bracis-28404	102	8	vertex	vertex	NOUN
bracis-28404	102	9	k	k	PROPN
bracis-28404	102	10	in	in	ADP
bracis-28404	102	11	lines	line	NOUN
bracis-28404	102	12	(	(	PUNCT
bracis-28404	102	13	2)–(6	2)–(6	NUM
bracis-28404	102	14	)	)	PUNCT
bracis-28404	102	15	has	have	VERB
bracis-28404	102	16	complexity	complexity	NOUN
bracis-28404	102	17	o(n	o(n	PROPN
bracis-28404	102	18	)	)	PUNCT
bracis-28404	102	19	and	and	CCONJ
bracis-28404	102	20	can	can	AUX
bracis-28404	102	21	be	be	AUX
bracis-28404	102	22	improved	improve	VERB
bracis-28404	102	23	to	to	ADP
bracis-28404	102	24	\(\vartheta	\(\vartheta	NOUN
bracis-28404	102	25	(	(	PUNCT
bracis-28404	102	26	1)\	1)\	NUM
bracis-28404	102	27	)	)	PUNCT
bracis-28404	102	28	after	after	ADP
bracis-28404	102	29	the	the	DET
bracis-28404	102	30	first	first	ADJ
bracis-28404	102	31	iteration	iteration	NOUN
bracis-28404	102	32	by	by	ADP
bracis-28404	102	33	saving	save	VERB
bracis-28404	102	34	the	the	DET
bracis-28404	102	35	values	value	NOUN
bracis-28404	102	36	in	in	ADP
bracis-28404	102	37	a	a	DET
bracis-28404	102	38	vector	vector	NOUN
bracis-28404	102	39	and	and	CCONJ
bracis-28404	102	40	updating	updating	NOUN
bracis-28404	102	41	after	after	ADP
bracis-28404	102	42	each	each	DET
bracis-28404	102	43	change	change	NOUN
bracis-28404	102	44	in	in	ADP
bracis-28404	102	45	the	the	DET
bracis-28404	102	46	cut	cut	NOUN
bracis-28404	102	47	.	.	PUNCT
bracis-28404	103	1	the	the	DET
bracis-28404	103	2	lines	line	NOUN
bracis-28404	103	3	(	(	PUNCT
bracis-28404	103	4	7	7	NUM
bracis-28404	103	5	)	)	PUNCT
bracis-28404	103	6	and	and	CCONJ
bracis-28404	103	7	(	(	PUNCT
bracis-28404	103	8	10	10	NUM
bracis-28404	103	9	)	)	PUNCT
bracis-28404	103	10	run	run	VERB
bracis-28404	103	11	in	in	ADP
bracis-28404	103	12	constant	constant	ADJ
bracis-28404	103	13	time	time	NOUN
bracis-28404	103	14	,	,	PUNCT
bracis-28404	103	15	and	and	CCONJ
bracis-28404	103	16	the	the	DET
bracis-28404	103	17	procedure	procedure	NOUN
bracis-28404	103	18	to	to	PART
bracis-28404	103	19	change	change	VERB
bracis-28404	103	20	the	the	DET
bracis-28404	103	21	vertex	vertex	NOUN
bracis-28404	103	22	between	between	ADP
bracis-28404	103	23	sets	set	NOUN
bracis-28404	103	24	can	can	AUX
bracis-28404	103	25	be	be	AUX
bracis-28404	103	26	made	make	VERB
bracis-28404	103	27	in	in	ADP
bracis-28404	103	28	o(n)-time	o(n)-time	NOUN
bracis-28404	103	29	.	.	PUNCT
bracis-28404	104	1	assuming	assume	VERB
bracis-28404	104	2	\(\alpha	\(\alpha	NOUN
bracis-28404	104	3	\	\	NOUN
bracis-28404	104	4	)	)	PUNCT
bracis-28404	104	5	as	as	ADP
bracis-28404	104	6	a	a	DET
bracis-28404	104	7	constant	constant	ADJ
bracis-28404	104	8	indicating	indicate	VERB
bracis-28404	104	9	the	the	DET
bracis-28404	104	10	number	number	NOUN
bracis-28404	104	11	of	of	ADP
bracis-28404	104	12	iterations	iteration	NOUN
bracis-28404	104	13	in	in	ADP
bracis-28404	104	14	loop	loop	NOUN
bracis-28404	104	15	(	(	PUNCT
bracis-28404	104	16	1)–(11	1)–(11	NUM
bracis-28404	104	17	)	)	PUNCT
bracis-28404	104	18	,	,	PUNCT
bracis-28404	104	19	the	the	DET
bracis-28404	104	20	time	time	NOUN
bracis-28404	104	21	complexity	complexity	NOUN
bracis-28404	104	22	of	of	ADP
bracis-28404	104	23	the	the	DET
bracis-28404	104	24	algorithm	algorithm	NOUN
bracis-28404	104	25	 	 	SPACE
bracis-28404	104	26	1	1	NUM
bracis-28404	104	27	can	can	AUX
bracis-28404	104	28	be	be	AUX
bracis-28404	104	29	limited	limit	VERB
bracis-28404	104	30	to	to	ADP
bracis-28404	104	31	\(o(\alpha	\(o(\alpha	PUNCT
bracis-28404	104	32	n^2)\	n^2)\	PROPN
bracis-28404	104	33	)	)	PUNCT
bracis-28404	104	34	.	.	PUNCT
bracis-28404	105	1	algorithm	algorithm	NOUN
bracis-28404	105	2	1	1	NUM
bracis-28404	105	3	modification	modification	NOUN
bracis-28404	105	4	with	with	ADP
bracis-28404	105	5	optimality	optimality	NOUN
bracis-28404	105	6	cuts	cut	NOUN
bracis-28404	105	7	full	full	ADJ
bracis-28404	105	8	size	size	NOUN
bracis-28404	105	9	image	image	NOUN
bracis-28404	105	10	3.1	3.1	NUM
bracis-28404	105	11	genetic	genetic	ADJ
bracis-28404	105	12	algorithm	algorithm	NOUN
bracis-28404	105	13	with	with	ADP
bracis-28404	105	14	optimality	optimality	NOUN
bracis-28404	105	15	cuts	cut	VERB
bracis-28404	105	16	the	the	DET
bracis-28404	105	17	motivation	motivation	NOUN
bracis-28404	105	18	to	to	PART
bracis-28404	105	19	use	use	VERB
bracis-28404	105	20	genetic	genetic	ADJ
bracis-28404	105	21	algorithms	algorithm	NOUN
bracis-28404	105	22	(	(	PUNCT
bracis-28404	105	23	ga	ga	NOUN
bracis-28404	105	24	)	)	PUNCT
bracis-28404	105	25	is	be	AUX
bracis-28404	105	26	the	the	DET
bracis-28404	105	27	fact	fact	NOUN
bracis-28404	105	28	there	there	PRON
bracis-28404	105	29	are	be	VERB
bracis-28404	105	30	many	many	ADJ
bracis-28404	105	31	different	different	ADJ
bracis-28404	105	32	solutions	solution	NOUN
bracis-28404	105	33	to	to	PART
bracis-28404	105	34	which	which	PRON
bracis-28404	105	35	the	the	DET
bracis-28404	105	36	cuts	cut	NOUN
bracis-28404	105	37	can	can	AUX
bracis-28404	105	38	be	be	AUX
bracis-28404	105	39	applied	apply	VERB
bracis-28404	105	40	,	,	PUNCT
bracis-28404	105	41	along	along	ADP
bracis-28404	105	42	with	with	ADP
bracis-28404	105	43	the	the	DET
bracis-28404	105	44	fact	fact	NOUN
bracis-28404	105	45	that	that	SCONJ
bracis-28404	105	46	genetic	genetic	ADJ
bracis-28404	105	47	operators	operator	NOUN
bracis-28404	105	48	make	make	VERB
bracis-28404	105	49	it	it	PRON
bracis-28404	105	50	possible	possible	ADJ
bracis-28404	105	51	to	to	PART
bracis-28404	105	52	maintain	maintain	VERB
bracis-28404	105	53	diversity	diversity	NOUN
bracis-28404	105	54	in	in	ADP
bracis-28404	105	55	solutions	solution	NOUN
bracis-28404	105	56	,	,	PUNCT
bracis-28404	105	57	especially	especially	ADV
bracis-28404	105	58	after	after	ADP
bracis-28404	105	59	applying	apply	VERB
bracis-28404	105	60	the	the	DET
bracis-28404	105	61	inequalities	inequality	NOUN
bracis-28404	105	62	which	which	PRON
bracis-28404	105	63	often	often	ADV
bracis-28404	105	64	result	result	VERB
bracis-28404	105	65	in	in	ADP
bracis-28404	105	66	similar	similar	ADJ
bracis-28404	105	67	solutions	solution	NOUN
bracis-28404	105	68	.	.	PUNCT
bracis-28404	106	1	this	this	DET
bracis-28404	106	2	section	section	NOUN
bracis-28404	106	3	describes	describe	VERB
bracis-28404	106	4	the	the	DET
bracis-28404	106	5	first	first	ADJ
bracis-28404	106	6	developed	develop	VERB
bracis-28404	106	7	genetic	genetic	ADJ
bracis-28404	106	8	algorithm	algorithm	NOUN
bracis-28404	106	9	that	that	PRON
bracis-28404	106	10	uses	use	VERB
bracis-28404	106	11	the	the	DET
bracis-28404	106	12	optimality	optimality	NOUN
bracis-28404	106	13	cuts	cut	NOUN
bracis-28404	106	14	,	,	PUNCT
bracis-28404	106	15	referenced	reference	VERB
bracis-28404	106	16	in	in	ADP
bracis-28404	106	17	the	the	DET
bracis-28404	106	18	rest	rest	NOUN
bracis-28404	106	19	of	of	ADP
bracis-28404	106	20	this	this	DET
bracis-28404	106	21	document	document	NOUN
bracis-28404	106	22	as	as	ADP
bracis-28404	106	23	ga	ga	NOUN
bracis-28404	106	24	-	-	PUNCT
bracis-28404	106	25	oc	oc	PROPN
bracis-28404	106	26	.	.	PUNCT
bracis-28404	107	1	the	the	DET
bracis-28404	107	2	complete	complete	ADJ
bracis-28404	107	3	version	version	NOUN
bracis-28404	107	4	of	of	ADP
bracis-28404	107	5	ga	ga	PROPN
bracis-28404	107	6	-	-	PUNCT
bracis-28404	107	7	oc	oc	PROPN
bracis-28404	107	8	is	be	AUX
bracis-28404	107	9	presented	present	VERB
bracis-28404	107	10	in	in	ADP
bracis-28404	107	11	the	the	DET
bracis-28404	107	12	algorithm	algorithm	NOUN
bracis-28404	107	13	 	 	SPACE
bracis-28404	107	14	2	2	NUM
bracis-28404	107	15	.	.	PUNCT
bracis-28404	107	16	algorithm	algorithm	NOUN
bracis-28404	107	17	2	2	NUM
bracis-28404	107	18	genetic	genetic	ADJ
bracis-28404	107	19	algorithm	algorithm	NOUN
bracis-28404	107	20	with	with	ADP
bracis-28404	107	21	optimality	optimality	NOUN
bracis-28404	107	22	cuts	cut	NOUN
bracis-28404	107	23	full	full	ADJ
bracis-28404	107	24	size	size	NOUN
bracis-28404	107	25	image	image	NOUN
bracis-28404	107	26	algorithm	algorithm	NOUN
bracis-28404	107	27	3	3	NUM
bracis-28404	107	28	local	local	ADJ
bracis-28404	107	29	optimization	optimization	NOUN
bracis-28404	107	30	full	full	ADJ
bracis-28404	107	31	size	size	NOUN
bracis-28404	107	32	image	image	NOUN
bracis-28404	107	33	algorithm	algorithm	NOUN
bracis-28404	107	34	4	4	NUM
bracis-28404	107	35	crossover	crossover	ADP
bracis-28404	107	36	full	full	ADJ
bracis-28404	107	37	size	size	NOUN
bracis-28404	107	38	image	image	NOUN
bracis-28404	107	39	each	each	DET
bracis-28404	107	40	individual	individual	NOUN
bracis-28404	107	41	in	in	ADP
bracis-28404	107	42	the	the	DET
bracis-28404	107	43	population	population	NOUN
bracis-28404	107	44	is	be	AUX
bracis-28404	107	45	a	a	DET
bracis-28404	107	46	binary	binary	ADJ
bracis-28404	107	47	vector	vector	NOUN
bracis-28404	107	48	that	that	PRON
bracis-28404	107	49	represents	represent	VERB
bracis-28404	107	50	a	a	DET
bracis-28404	107	51	cut	cut	NOUN
bracis-28404	107	52	in	in	ADP
bracis-28404	107	53	the	the	DET
bracis-28404	107	54	graph	graph	NOUN
bracis-28404	107	55	and	and	CCONJ
bracis-28404	107	56	the	the	DET
bracis-28404	107	57	fitness	fitness	NOUN
bracis-28404	107	58	function	function	NOUN
bracis-28404	107	59	is	be	AUX
bracis-28404	107	60	the	the	DET
bracis-28404	107	61	cut	cut	NOUN
bracis-28404	107	62	value	value	NOUN
bracis-28404	107	63	.	.	PUNCT
bracis-28404	108	1	the	the	DET
bracis-28404	108	2	first	first	ADJ
bracis-28404	108	3	step	step	NOUN
bracis-28404	108	4	of	of	ADP
bracis-28404	108	5	ga	ga	PROPN
bracis-28404	108	6	-	-	PUNCT
bracis-28404	108	7	oc	oc	NOUN
bracis-28404	108	8	lines	line	NOUN
bracis-28404	108	9	(	(	PUNCT
bracis-28404	108	10	1)–(6	1)–(6	X
bracis-28404	108	11	)	)	PUNCT
bracis-28404	108	12	randomly	randomly	ADV
bracis-28404	108	13	generates	generate	VERB
bracis-28404	108	14	the	the	DET
bracis-28404	108	15	initial	initial	ADJ
bracis-28404	108	16	population	population	NOUN
bracis-28404	108	17	,	,	PUNCT
bracis-28404	108	18	where	where	SCONJ
bracis-28404	108	19	(	(	PUNCT
bracis-28404	108	20	ps	ps	NOUN
bracis-28404	108	21	)	)	PUNCT
bracis-28404	108	22	and	and	CCONJ
bracis-28404	108	23	(	(	PUNCT
bracis-28404	108	24	nioc	nioc	NOUN
bracis-28404	108	25	)	)	PUNCT
bracis-28404	108	26	are	be	AUX
bracis-28404	108	27	parameters	parameter	NOUN
bracis-28404	108	28	referring	refer	VERB
bracis-28404	108	29	to	to	ADP
bracis-28404	108	30	the	the	DET
bracis-28404	108	31	size	size	NOUN
bracis-28404	108	32	of	of	ADP
bracis-28404	108	33	the	the	DET
bracis-28404	108	34	population	population	NOUN
bracis-28404	108	35	and	and	CCONJ
bracis-28404	108	36	the	the	DET
bracis-28404	108	37	amount	amount	NOUN
bracis-28404	108	38	of	of	ADP
bracis-28404	108	39	randomly	randomly	ADV
bracis-28404	108	40	generated	generate	VERB
bracis-28404	108	41	individuals	individual	NOUN
bracis-28404	108	42	that	that	PRON
bracis-28404	108	43	are	be	AUX
bracis-28404	108	44	modified	modify	VERB
bracis-28404	108	45	by	by	ADP
bracis-28404	108	46	the	the	DET
bracis-28404	108	47	optimality	optimality	NOUN
bracis-28404	108	48	cuts	cut	NOUN
bracis-28404	108	49	in	in	ADP
bracis-28404	108	50	the	the	DET
bracis-28404	108	51	initial	initial	ADJ
bracis-28404	108	52	population	population	NOUN
bracis-28404	108	53	.	.	PUNCT
bracis-28404	109	1	it	it	PRON
bracis-28404	109	2	is	be	AUX
bracis-28404	109	3	important	important	ADJ
bracis-28404	109	4	to	to	PART
bracis-28404	109	5	mention	mention	VERB
bracis-28404	109	6	that	that	SCONJ
bracis-28404	109	7	we	we	PRON
bracis-28404	109	8	chose	choose	VERB
bracis-28404	109	9	a	a	DET
bracis-28404	109	10	vertex	vertex	NOUN
bracis-28404	109	11	that	that	PRON
bracis-28404	109	12	did	do	AUX
bracis-28404	109	13	not	not	PART
bracis-28404	109	14	have	have	VERB
bracis-28404	109	15	its	its	PRON
bracis-28404	109	16	value	value	NOUN
bracis-28404	109	17	modified	modify	VERB
bracis-28404	109	18	when	when	SCONJ
bracis-28404	109	19	using	use	VERB
bracis-28404	109	20	the	the	DET
bracis-28404	109	21	algorithm	algorithm	NOUN
bracis-28404	109	22	 	 	SPACE
bracis-28404	109	23	1	1	NUM
bracis-28404	109	24	.	.	PUNCT
bracis-28404	110	1	new	new	ADJ
bracis-28404	110	2	individuals	individual	NOUN
bracis-28404	110	3	are	be	AUX
bracis-28404	110	4	generated	generate	VERB
bracis-28404	110	5	through	through	ADP
bracis-28404	110	6	crossover	crossover	PROPN
bracis-28404	110	7	(	(	PUNCT
bracis-28404	110	8	algorithm	algorithm	NOUN
bracis-28404	110	9	 	 	SPACE
bracis-28404	110	10	4	4	NUM
bracis-28404	110	11	)	)	PUNCT
bracis-28404	110	12	and	and	CCONJ
bracis-28404	110	13	local	local	ADJ
bracis-28404	110	14	optimization	optimization	NOUN
bracis-28404	110	15	(	(	PUNCT
bracis-28404	110	16	algorithm	algorithm	NOUN
bracis-28404	110	17	 	 	SPACE
bracis-28404	110	18	3	3	NUM
bracis-28404	110	19	)	)	PUNCT
bracis-28404	110	20	in	in	ADP
bracis-28404	110	21	lines	line	NOUN
bracis-28404	110	22	(	(	PUNCT
bracis-28404	110	23	9)–(13	9)–(13	NUM
bracis-28404	110	24	)	)	PUNCT
bracis-28404	110	25	.	.	PUNCT
bracis-28404	111	1	the	the	DET
bracis-28404	111	2	selection	selection	NOUN
bracis-28404	111	3	of	of	ADP
bracis-28404	111	4	parents	parent	NOUN
bracis-28404	111	5	is	be	AUX
bracis-28404	111	6	performed	perform	VERB
bracis-28404	111	7	through	through	ADP
bracis-28404	111	8	tournaments	tournament	NOUN
bracis-28404	111	9	,	,	PUNCT
bracis-28404	111	10	which	which	PRON
bracis-28404	111	11	selects	select	VERB
bracis-28404	111	12	the	the	DET
bracis-28404	111	13	fittest	fit	ADJ
bracis-28404	111	14	individual	individual	NOUN
bracis-28404	111	15	from	from	ADP
bracis-28404	111	16	a	a	DET
bracis-28404	111	17	random	random	ADJ
bracis-28404	111	18	subset	subset	NOUN
bracis-28404	111	19	of	of	ADP
bracis-28404	111	20	the	the	DET
bracis-28404	111	21	population	population	NOUN
bracis-28404	111	22	.	.	PUNCT
bracis-28404	112	1	the	the	DET
bracis-28404	112	2	crossover	crossover	NOUN
bracis-28404	112	3	function	function	NOUN
bracis-28404	112	4	creates	create	VERB
bracis-28404	112	5	a	a	DET
bracis-28404	112	6	new	new	ADJ
bracis-28404	112	7	individual	individual	NOUN
bracis-28404	112	8	from	from	ADP
bracis-28404	112	9	a	a	DET
bracis-28404	112	10	pair	pair	NOUN
bracis-28404	112	11	returned	return	VERB
bracis-28404	112	12	from	from	ADP
bracis-28404	112	13	tournaments	tournament	NOUN
bracis-28404	112	14	.	.	PUNCT
bracis-28404	113	1	the	the	DET
bracis-28404	113	2	next	next	ADJ
bracis-28404	113	3	step	step	NOUN
bracis-28404	113	4	in	in	ADP
bracis-28404	113	5	lines	line	NOUN
bracis-28404	113	6	(	(	PUNCT
bracis-28404	113	7	14)–(18	14)–(18	NUM
bracis-28404	113	8	)	)	PUNCT
bracis-28404	113	9	,	,	PUNCT
bracis-28404	113	10	is	be	AUX
bracis-28404	113	11	to	to	PART
bracis-28404	113	12	select	select	VERB
bracis-28404	113	13	a	a	DET
bracis-28404	113	14	subset	subset	NOUN
bracis-28404	113	15	of	of	ADP
bracis-28404	113	16	individuals	individual	NOUN
bracis-28404	113	17	from	from	ADP
bracis-28404	113	18	the	the	DET
bracis-28404	113	19	population	population	NOUN
bracis-28404	113	20	p	p	NOUN
bracis-28404	113	21	to	to	PART
bracis-28404	113	22	apply	apply	VERB
bracis-28404	113	23	the	the	DET
bracis-28404	113	24	modification	modification	NOUN
bracis-28404	113	25	procedure	procedure	NOUN
bracis-28404	113	26	using	use	VERB
bracis-28404	113	27	the	the	DET
bracis-28404	113	28	optimality	optimality	NOUN
bracis-28404	113	29	cuts	cut	NOUN
bracis-28404	113	30	,	,	PUNCT
bracis-28404	113	31	which	which	PRON
bracis-28404	113	32	consists	consist	VERB
bracis-28404	113	33	of	of	ADP
bracis-28404	113	34	fixing	fix	VERB
bracis-28404	113	35	a	a	DET
bracis-28404	113	36	random	random	ADJ
bracis-28404	113	37	vertex	vertex	NOUN
bracis-28404	113	38	and	and	CCONJ
bracis-28404	113	39	applying	apply	VERB
bracis-28404	113	40	the	the	DET
bracis-28404	113	41	algorithm	algorithm	NOUN
bracis-28404	113	42	 	 	SPACE
bracis-28404	113	43	1	1	NUM
bracis-28404	113	44	.	.	PUNCT
bracis-28404	114	1	the	the	DET
bracis-28404	114	2	same	same	ADJ
bracis-28404	114	3	occurs	occur	VERB
bracis-28404	114	4	in	in	ADP
bracis-28404	114	5	the	the	DET
bracis-28404	114	6	lines	line	NOUN
bracis-28404	114	7	(	(	PUNCT
bracis-28404	114	8	19)–(23	19)–(23	NOUN
bracis-28404	114	9	)	)	PUNCT
bracis-28404	114	10	,	,	PUNCT
bracis-28404	114	11	where	where	SCONJ
bracis-28404	114	12	a	a	DET
bracis-28404	114	13	different	different	ADJ
bracis-28404	114	14	subset	subset	NOUN
bracis-28404	114	15	from	from	ADP
bracis-28404	114	16	the	the	DET
bracis-28404	114	17	population	population	NOUN
bracis-28404	114	18	p	p	NOUN
bracis-28404	114	19	is	be	AUX
bracis-28404	114	20	selected	select	VERB
bracis-28404	114	21	to	to	PART
bracis-28404	114	22	apply	apply	VERB
bracis-28404	114	23	the	the	DET
bracis-28404	114	24	default	default	NOUN
bracis-28404	114	25	mutation	mutation	NOUN
bracis-28404	114	26	,	,	PUNCT
bracis-28404	114	27	as	as	SCONJ
bracis-28404	114	28	shown	show	VERB
bracis-28404	114	29	in	in	ADP
bracis-28404	114	30	algorithm	algorithm	NOUN
bracis-28404	114	31	 	 	SPACE
bracis-28404	114	32	5	5	NUM
bracis-28404	114	33	.	.	PUNCT
bracis-28404	115	1	in	in	ADP
bracis-28404	115	2	the	the	DET
bracis-28404	115	3	end	end	NOUN
bracis-28404	115	4	,	,	PUNCT
bracis-28404	115	5	new	new	ADJ
bracis-28404	115	6	individuals	individual	NOUN
bracis-28404	115	7	are	be	AUX
bracis-28404	115	8	inserted	insert	VERB
bracis-28404	115	9	into	into	ADP
bracis-28404	115	10	the	the	DET
bracis-28404	115	11	population	population	NOUN
bracis-28404	115	12	after	after	ADP
bracis-28404	115	13	applying	apply	VERB
bracis-28404	115	14	a	a	DET
bracis-28404	115	15	procedure	procedure	NOUN
bracis-28404	115	16	of	of	ADP
bracis-28404	115	17	selection	selection	NOUN
bracis-28404	115	18	,	,	PUNCT
bracis-28404	115	19	presented	present	VERB
bracis-28404	115	20	on	on	ADP
bracis-28404	115	21	algorithm	algorithm	NOUN
bracis-28404	115	22	 	 	SPACE
bracis-28404	115	23	6	6	NUM
bracis-28404	115	24	.	.	PUNCT
bracis-28404	116	1	algorithm	algorithm	NOUN
bracis-28404	116	2	5	5	NUM
bracis-28404	116	3	default	default	NOUN
bracis-28404	116	4	mutation	mutation	NOUN
bracis-28404	116	5	full	full	ADJ
bracis-28404	116	6	size	size	NOUN
bracis-28404	116	7	image	image	NOUN
bracis-28404	116	8	algorithm	algorithm	NOUN
bracis-28404	116	9	6	6	NUM
bracis-28404	116	10	selection	selection	NOUN
bracis-28404	116	11	full	full	ADJ
bracis-28404	116	12	size	size	NOUN
bracis-28404	116	13	image	image	NOUN
bracis-28404	116	14	3.2	3.2	NUM
bracis-28404	116	15	genetic	genetic	ADJ
bracis-28404	116	16	algorithm	algorithm	NOUN
bracis-28404	116	17	with	with	ADP
bracis-28404	116	18	perturbation	perturbation	NOUN
bracis-28404	116	19	-	-	PUNCT
bracis-28404	116	20	based	base	VERB
bracis-28404	116	21	on	on	ADP
bracis-28404	116	22	tabu	tabu	NOUN
bracis-28404	116	23	search	search	NOUN
bracis-28404	116	24	the	the	DET
bracis-28404	116	25	genetic	genetic	ADJ
bracis-28404	116	26	algorithm	algorithm	NOUN
bracis-28404	116	27	with	with	ADP
bracis-28404	116	28	perturbation	perturbation	NOUN
bracis-28404	116	29	-	-	PUNCT
bracis-28404	116	30	based	base	VERB
bracis-28404	116	31	on	on	ADP
bracis-28404	116	32	tabu	tabu	NOUN
bracis-28404	116	33	search	search	NOUN
bracis-28404	116	34	(	(	PUNCT
bracis-28404	116	35	ga	ga	NOUN
bracis-28404	116	36	-	-	PUNCT
bracis-28404	116	37	ts	ts	NOUN
bracis-28404	116	38	)	)	PUNCT
bracis-28404	116	39	pseudocode	pseudocode	PROPN
bracis-28404	116	40	is	be	AUX
bracis-28404	116	41	presented	present	VERB
bracis-28404	116	42	on	on	ADP
bracis-28404	116	43	(	(	PUNCT
bracis-28404	116	44	algorithm	algorithm	NOUN
bracis-28404	116	45	 	 	SPACE
bracis-28404	116	46	7	7	NUM
bracis-28404	116	47	)	)	PUNCT
bracis-28404	116	48	.	.	PUNCT
bracis-28404	117	1	first	first	ADV
bracis-28404	117	2	,	,	PUNCT
bracis-28404	117	3	the	the	DET
bracis-28404	117	4	initial	initial	ADJ
bracis-28404	117	5	population	population	NOUN
bracis-28404	117	6	is	be	AUX
bracis-28404	117	7	created	create	VERB
bracis-28404	117	8	in	in	ADP
bracis-28404	117	9	the	the	DET
bracis-28404	117	10	same	same	ADJ
bracis-28404	117	11	way	way	NOUN
bracis-28404	117	12	as	as	ADP
bracis-28404	117	13	in	in	ADP
bracis-28404	117	14	ga	ga	NOUN
bracis-28404	117	15	-	-	PUNCT
bracis-28404	117	16	oc	oc	NOUN
bracis-28404	117	17	lines	line	NOUN
bracis-28404	117	18	(	(	PUNCT
bracis-28404	117	19	1)–(6	1)–(6	NUM
bracis-28404	117	20	)	)	PUNCT
bracis-28404	117	21	,	,	PUNCT
bracis-28404	117	22	then	then	ADV
bracis-28404	117	23	the	the	DET
bracis-28404	117	24	new	new	ADJ
bracis-28404	117	25	individuals	individual	NOUN
bracis-28404	117	26	are	be	AUX
bracis-28404	117	27	computed	compute	VERB
bracis-28404	117	28	using	use	VERB
bracis-28404	117	29	crossover	crossover	NOUN
bracis-28404	117	30	(	(	PUNCT
bracis-28404	117	31	algorithm	algorithm	NOUN
bracis-28404	117	32	 	 	SPACE
bracis-28404	117	33	4	4	NUM
bracis-28404	117	34	)	)	PUNCT
bracis-28404	117	35	and	and	CCONJ
bracis-28404	117	36	perturbation	perturbation	NOUN
bracis-28404	117	37	-	-	PUNCT
bracis-28404	117	38	based	base	VERB
bracis-28404	117	39	on	on	ADP
bracis-28404	117	40	tabu	tabu	NOUN
bracis-28404	117	41	search	search	NOUN
bracis-28404	117	42	(	(	PUNCT
bracis-28404	117	43	algorithm	algorithm	NOUN
bracis-28404	117	44	 	 	SPACE
bracis-28404	117	45	8)	8)	NUM
bracis-28404	117	46	.	.	PUNCT
bracis-28404	118	1	we	we	PRON
bracis-28404	118	2	discard	discard	VERB
bracis-28404	118	3	the	the	DET
bracis-28404	118	4	default	default	NOUN
bracis-28404	118	5	mutation	mutation	NOUN
bracis-28404	118	6	procedure	procedure	NOUN
bracis-28404	118	7	and	and	CCONJ
bracis-28404	118	8	in	in	ADP
bracis-28404	118	9	the	the	DET
bracis-28404	118	10	end	end	NOUN
bracis-28404	118	11	,	,	PUNCT
bracis-28404	118	12	new	new	ADJ
bracis-28404	118	13	individuals	individual	NOUN
bracis-28404	118	14	are	be	AUX
bracis-28404	118	15	inserted	insert	VERB
bracis-28404	118	16	into	into	ADP
bracis-28404	118	17	the	the	DET
bracis-28404	118	18	population	population	NOUN
bracis-28404	118	19	after	after	ADP
bracis-28404	118	20	applying	apply	VERB
bracis-28404	118	21	a	a	DET
bracis-28404	118	22	procedure	procedure	NOUN
bracis-28404	118	23	of	of	ADP
bracis-28404	118	24	selection	selection	NOUN
bracis-28404	118	25	,	,	PUNCT
bracis-28404	118	26	presented	present	VERB
bracis-28404	118	27	on	on	ADP
bracis-28404	118	28	algorithm	algorithm	NOUN
bracis-28404	118	29	 	 	SPACE
bracis-28404	118	30	6	6	NUM
bracis-28404	118	31	.	.	PUNCT
bracis-28404	119	1	it	it	PRON
bracis-28404	119	2	is	be	AUX
bracis-28404	119	3	important	important	ADJ
bracis-28404	119	4	to	to	PART
bracis-28404	119	5	emphasize	emphasize	VERB
bracis-28404	119	6	that	that	SCONJ
bracis-28404	119	7	in	in	ADP
bracis-28404	119	8	algorithm	algorithm	NOUN
bracis-28404	119	9	 	 	SPACE
bracis-28404	119	10	8	8	NUM
bracis-28404	119	11	,	,	PUNCT
bracis-28404	119	12	the	the	DET
bracis-28404	119	13	tabu	tabu	NOUN
bracis-28404	119	14	list	list	NOUN
bracis-28404	119	15	(	(	PUNCT
bracis-28404	119	16	tl	tl	PROPN
bracis-28404	119	17	)	)	PUNCT
bracis-28404	119	18	size	size	NOUN
bracis-28404	119	19	is	be	AUX
bracis-28404	119	20	dynamically	dynamically	ADV
bracis-28404	119	21	and	and	CCONJ
bracis-28404	119	22	that	that	DET
bracis-28404	119	23	size	size	NOUN
bracis-28404	119	24	changes	change	NOUN
bracis-28404	119	25	following	follow	VERB
bracis-28404	119	26	the	the	DET
bracis-28404	119	27	rule	rule	NOUN
bracis-28404	119	28	presented	present	VERB
bracis-28404	119	29	by	by	ADP
bracis-28404	119	30	galinier	galinier	NOUN
bracis-28404	120	1	[	[	X
bracis-28404	120	2	12	12	NUM
bracis-28404	120	3	]	]	PUNCT
bracis-28404	120	4	.	.	PUNCT
bracis-28404	121	1	the	the	DET
bracis-28404	121	2	condition	condition	NOUN
bracis-28404	121	3	to	to	PART
bracis-28404	121	4	shuffle	shuffle	VERB
bracis-28404	121	5	the	the	DET
bracis-28404	121	6	solution	solution	NOUN
bracis-28404	121	7	was	be	AUX
bracis-28404	121	8	based	base	VERB
bracis-28404	121	9	on	on	ADP
bracis-28404	121	10	wu	wu	PROPN
bracis-28404	122	1	[	[	X
bracis-28404	122	2	27	27	NUM
bracis-28404	122	3	]	]	PUNCT
bracis-28404	122	4	,	,	PUNCT
bracis-28404	122	5	according	accord	VERB
bracis-28404	122	6	to	to	ADP
bracis-28404	122	7	their	their	PRON
bracis-28404	122	8	results	result	NOUN
bracis-28404	122	9	and	and	CCONJ
bracis-28404	122	10	some	some	DET
bracis-28404	122	11	preliminary	preliminary	ADJ
bracis-28404	122	12	tests	test	NOUN
bracis-28404	122	13	that	that	PRON
bracis-28404	122	14	we	we	PRON
bracis-28404	122	15	made	make	VERB
bracis-28404	122	16	.	.	PUNCT
bracis-28404	123	1	also	also	ADV
bracis-28404	123	2	,	,	PUNCT
bracis-28404	123	3	values	value	NOUN
bracis-28404	123	4	above	above	ADP
bracis-28404	123	5	500	500	NUM
bracis-28404	123	6	iterations	iteration	NOUN
bracis-28404	123	7	do	do	AUX
bracis-28404	123	8	not	not	PART
bracis-28404	123	9	show	show	VERB
bracis-28404	123	10	significant	significant	ADJ
bracis-28404	123	11	difference	difference	NOUN
bracis-28404	123	12	.	.	PUNCT
bracis-28404	124	1	the	the	DET
bracis-28404	124	2	shuffle	shuffle	ADJ
bracis-28404	124	3	procedure	procedure	NOUN
bracis-28404	124	4	in	in	ADP
bracis-28404	124	5	the	the	DET
bracis-28404	124	6	line	line	NOUN
bracis-28404	124	7	(	(	PUNCT
bracis-28404	124	8	8)	8)	NUM
bracis-28404	124	9	of	of	ADP
bracis-28404	124	10	the	the	DET
bracis-28404	124	11	algorithm	algorithm	NOUN
bracis-28404	124	12	 	 	SPACE
bracis-28404	124	13	8	8	NUM
bracis-28404	124	14	selects	select	NOUN
bracis-28404	124	15	150	150	NUM
bracis-28404	124	16	vertices	vertex	NOUN
bracis-28404	124	17	from	from	ADP
bracis-28404	124	18	the	the	DET
bracis-28404	124	19	current	current	ADJ
bracis-28404	124	20	solution	solution	NOUN
bracis-28404	124	21	and	and	CCONJ
bracis-28404	124	22	changes	change	VERB
bracis-28404	124	23	the	the	DET
bracis-28404	124	24	set	set	NOUN
bracis-28404	124	25	where	where	SCONJ
bracis-28404	124	26	they	they	PRON
bracis-28404	124	27	are	be	AUX
bracis-28404	124	28	in	in	ADP
bracis-28404	124	29	.	.	PUNCT
bracis-28404	125	1	algorithm	algorithm	NOUN
bracis-28404	125	2	 	 	SPACE
bracis-28404	125	3	9	9	NUM
bracis-28404	125	4	is	be	AUX
bracis-28404	125	5	based	base	VERB
bracis-28404	125	6	on	on	ADP
bracis-28404	125	7	the	the	DET
bracis-28404	125	8	principle	principle	NOUN
bracis-28404	125	9	of	of	ADP
bracis-28404	125	10	best	good	ADJ
bracis-28404	125	11	improvement	improvement	NOUN
bracis-28404	125	12	,	,	PUNCT
bracis-28404	125	13	in	in	ADP
bracis-28404	125	14	which	which	PRON
bracis-28404	125	15	the	the	DET
bracis-28404	125	16	movement	movement	NOUN
bracis-28404	125	17	candidate	candidate	NOUN
bracis-28404	125	18	list	list	NOUN
bracis-28404	125	19	is	be	AUX
bracis-28404	125	20	generated	generate	VERB
bracis-28404	125	21	based	base	VERB
bracis-28404	125	22	on	on	ADP
bracis-28404	125	23	two	two	NUM
bracis-28404	125	24	properties	property	NOUN
bracis-28404	125	25	:	:	PUNCT
bracis-28404	125	26	the	the	DET
bracis-28404	125	27	cut	cut	NOUN
bracis-28404	125	28	improvement	improvement	NOUN
bracis-28404	125	29	of	of	ADP
bracis-28404	125	30	moving	move	VERB
bracis-28404	125	31	the	the	DET
bracis-28404	125	32	vertex	vertex	NOUN
bracis-28404	125	33	k	k	PROPN
bracis-28404	125	34	to	to	ADP
bracis-28404	125	35	the	the	DET
bracis-28404	125	36	other	other	ADJ
bracis-28404	125	37	set	set	NOUN
bracis-28404	125	38	of	of	ADP
bracis-28404	125	39	the	the	DET
bracis-28404	125	40	partition	partition	NOUN
bracis-28404	125	41	,	,	PUNCT
bracis-28404	125	42	and	and	CCONJ
bracis-28404	125	43	if	if	SCONJ
bracis-28404	125	44	this	this	DET
bracis-28404	125	45	vertex	vertex	NOUN
bracis-28404	125	46	,	,	PUNCT
bracis-28404	125	47	according	accord	VERB
bracis-28404	125	48	to	to	ADP
bracis-28404	125	49	the	the	DET
bracis-28404	125	50	optimality	optimality	NOUN
bracis-28404	125	51	cuts	cut	NOUN
bracis-28404	125	52	,	,	PUNCT
bracis-28404	125	53	must	must	AUX
bracis-28404	125	54	be	be	AUX
bracis-28404	125	55	in	in	ADP
bracis-28404	125	56	the	the	DET
bracis-28404	125	57	opposite	opposite	ADJ
bracis-28404	125	58	set	set	NOUN
bracis-28404	125	59	.	.	PUNCT
bracis-28404	126	1	thus	thus	ADV
bracis-28404	126	2	,	,	PUNCT
bracis-28404	126	3	the	the	DET
bracis-28404	126	4	movement	movement	NOUN
bracis-28404	126	5	that	that	PRON
bracis-28404	126	6	results	result	VERB
bracis-28404	126	7	in	in	ADP
bracis-28404	126	8	the	the	DET
bracis-28404	126	9	greatest	great	ADJ
bracis-28404	126	10	cut	cut	NOUN
bracis-28404	126	11	gain	gain	NOUN
bracis-28404	126	12	for	for	ADP
bracis-28404	126	13	the	the	DET
bracis-28404	126	14	solution	solution	NOUN
bracis-28404	126	15	is	be	AUX
bracis-28404	126	16	made	make	VERB
bracis-28404	126	17	.	.	PUNCT
bracis-28404	127	1	this	this	DET
bracis-28404	127	2	procedure	procedure	NOUN
bracis-28404	127	3	is	be	AUX
bracis-28404	127	4	called	call	VERB
bracis-28404	127	5	on	on	ADP
bracis-28404	127	6	algorithm	algorithm	NOUN
bracis-28404	127	7	 	 	SPACE
bracis-28404	127	8	8	8	NUM
bracis-28404	127	9	until	until	SCONJ
bracis-28404	127	10	the	the	DET
bracis-28404	127	11	maximum	maximum	ADJ
bracis-28404	127	12	number	number	NOUN
bracis-28404	127	13	of	of	ADP
bracis-28404	127	14	iterations	iteration	NOUN
bracis-28404	127	15	is	be	AUX
bracis-28404	127	16	reached	reach	VERB
bracis-28404	127	17	,	,	PUNCT
bracis-28404	127	18	always	always	ADV
bracis-28404	127	19	updating	update	VERB
bracis-28404	127	20	the	the	DET
bracis-28404	127	21	incumbent	incumbent	NOUN
bracis-28404	127	22	,	,	PUNCT
bracis-28404	127	23	i.e.	i.e.	X
bracis-28404	127	24	,	,	PUNCT
bracis-28404	127	25	the	the	DET
bracis-28404	127	26	best	good	ADJ
bracis-28404	127	27	solution	solution	NOUN
bracis-28404	127	28	found	find	VERB
bracis-28404	127	29	until	until	ADP
bracis-28404	127	30	the	the	DET
bracis-28404	127	31	moment	moment	NOUN
bracis-28404	127	32	.	.	PUNCT
bracis-28404	128	1	the	the	DET
bracis-28404	128	2	choice	choice	NOUN
bracis-28404	128	3	of	of	ADP
bracis-28404	128	4	a	a	DET
bracis-28404	128	5	perturbation	perturbation	NOUN
bracis-28404	128	6	-	-	PUNCT
bracis-28404	128	7	based	base	VERB
bracis-28404	128	8	on	on	ADP
bracis-28404	128	9	tabu	tabu	NOUN
bracis-28404	128	10	search	search	NOUN
bracis-28404	128	11	(	(	PUNCT
bracis-28404	128	12	ts	ts	NOUN
bracis-28404	128	13	)	)	PUNCT
bracis-28404	128	14	in	in	ADP
bracis-28404	128	15	conjunction	conjunction	NOUN
bracis-28404	128	16	with	with	ADP
bracis-28404	128	17	the	the	DET
bracis-28404	128	18	ga	ga	PROPN
bracis-28404	128	19	is	be	AUX
bracis-28404	128	20	due	due	ADJ
bracis-28404	128	21	to	to	ADP
bracis-28404	128	22	the	the	DET
bracis-28404	128	23	decision	decision	NOUN
bracis-28404	128	24	to	to	PART
bracis-28404	128	25	use	use	VERB
bracis-28404	128	26	more	more	ADJ
bracis-28404	128	27	time	time	NOUN
bracis-28404	128	28	optimizing	optimize	VERB
bracis-28404	128	29	the	the	DET
bracis-28404	128	30	new	new	ADJ
bracis-28404	128	31	individuals	individual	NOUN
bracis-28404	128	32	generated	generate	VERB
bracis-28404	128	33	,	,	PUNCT
bracis-28404	128	34	allowing	allow	VERB
bracis-28404	128	35	for	for	ADP
bracis-28404	128	36	changes	change	NOUN
bracis-28404	128	37	only	only	ADV
bracis-28404	128	38	when	when	SCONJ
bracis-28404	128	39	they	they	PRON
bracis-28404	128	40	improve	improve	VERB
bracis-28404	128	41	the	the	DET
bracis-28404	128	42	cut	cut	NOUN
bracis-28404	128	43	value	value	NOUN
bracis-28404	128	44	.	.	PUNCT
bracis-28404	129	1	the	the	DET
bracis-28404	129	2	main	main	ADJ
bracis-28404	129	3	difference	difference	NOUN
bracis-28404	129	4	between	between	ADP
bracis-28404	129	5	ga	ga	PROPN
bracis-28404	129	6	-	-	PUNCT
bracis-28404	129	7	ts	ts	PROPN
bracis-28404	129	8	and	and	CCONJ
bracis-28404	129	9	the	the	DET
bracis-28404	129	10	ga	ga	PROPN
bracis-28404	129	11	-	-	PUNCT
bracis-28404	129	12	oc	oc	PROPN
bracis-28404	129	13	is	be	AUX
bracis-28404	129	14	the	the	DET
bracis-28404	129	15	fact	fact	NOUN
bracis-28404	129	16	that	that	SCONJ
bracis-28404	129	17	ga	ga	PROPN
bracis-28404	129	18	-	-	PUNCT
bracis-28404	129	19	ts	ts	NOUN
bracis-28404	129	20	makes	make	VERB
bracis-28404	129	21	a	a	DET
bracis-28404	129	22	stronger	strong	ADJ
bracis-28404	129	23	search	search	NOUN
bracis-28404	129	24	to	to	PART
bracis-28404	129	25	improve	improve	VERB
bracis-28404	129	26	the	the	DET
bracis-28404	129	27	new	new	ADJ
bracis-28404	129	28	individuals	individual	NOUN
bracis-28404	129	29	.	.	PUNCT
bracis-28404	130	1	algorithm	algorithm	PROPN
bracis-28404	130	2	7	7	NUM
bracis-28404	130	3	ga	ga	PROPN
bracis-28404	130	4	with	with	ADP
bracis-28404	130	5	pertubation	pertubation	NOUN
bracis-28404	130	6	-	-	PUNCT
bracis-28404	130	7	based	base	VERB
bracis-28404	130	8	on	on	ADP
bracis-28404	130	9	tabu	tabu	NOUN
bracis-28404	130	10	search	search	NOUN
bracis-28404	130	11	full	full	ADJ
bracis-28404	130	12	size	size	NOUN
bracis-28404	130	13	image	image	NOUN
bracis-28404	130	14	4	4	NUM
bracis-28404	130	15	computational	computational	ADJ
bracis-28404	130	16	results	result	NOUN
bracis-28404	130	17	in	in	ADP
bracis-28404	130	18	this	this	DET
bracis-28404	130	19	section	section	NOUN
bracis-28404	130	20	,	,	PUNCT
bracis-28404	130	21	we	we	PRON
bracis-28404	130	22	describe	describe	VERB
bracis-28404	130	23	the	the	DET
bracis-28404	130	24	computational	computational	ADJ
bracis-28404	130	25	experiments	experiment	NOUN
bracis-28404	130	26	that	that	PRON
bracis-28404	130	27	were	be	AUX
bracis-28404	130	28	performed	perform	VERB
bracis-28404	130	29	to	to	PART
bracis-28404	130	30	test	test	VERB
bracis-28404	130	31	the	the	DET
bracis-28404	130	32	efficiency	efficiency	NOUN
bracis-28404	130	33	of	of	ADP
bracis-28404	130	34	the	the	DET
bracis-28404	130	35	two	two	NUM
bracis-28404	130	36	heuristics	heuristic	NOUN
bracis-28404	130	37	developed	develop	VERB
bracis-28404	130	38	in	in	ADP
bracis-28404	130	39	this	this	DET
bracis-28404	130	40	work	work	NOUN
bracis-28404	130	41	.	.	PUNCT
bracis-28404	131	1	the	the	DET
bracis-28404	131	2	algorithms	algorithm	NOUN
bracis-28404	131	3	were	be	AUX
bracis-28404	131	4	implemented	implement	VERB
bracis-28404	131	5	using	use	VERB
bracis-28404	131	6	the	the	DET
bracis-28404	131	7	c++11	c++11	NOUN
bracis-28404	131	8	programming	programming	NOUN
bracis-28404	131	9	language	language	NOUN
bracis-28404	131	10	and	and	CCONJ
bracis-28404	131	11	are	be	AUX
bracis-28404	131	12	available	available	ADJ
bracis-28404	131	13	at	at	ADP
bracis-28404	131	14	https://github.com/cvaraujo/max-cut-hybrid-ga-ts	https://github.com/cvaraujo/max-cut-hybrid-ga-ts	PROPN
bracis-28404	131	15	.	.	PUNCT
bracis-28404	132	1	the	the	DET
bracis-28404	132	2	experiments	experiment	NOUN
bracis-28404	132	3	were	be	AUX
bracis-28404	132	4	carried	carry	VERB
bracis-28404	132	5	out	out	ADP
bracis-28404	132	6	using	use	VERB
bracis-28404	132	7	a	a	DET
bracis-28404	132	8	machine	machine	NOUN
bracis-28404	132	9	with	with	ADP
bracis-28404	132	10	intel(r	intel(r	PROPN
bracis-28404	132	11	)	)	PUNCT
bracis-28404	132	12	xeon(r	xeon(r	PROPN
bracis-28404	132	13	)	)	PUNCT
bracis-28404	132	14	silver	silver	NOUN
bracis-28404	132	15	4114	4114	NUM
bracis-28404	132	16	(	(	PUNCT
bracis-28404	132	17	2.20	2.20	NUM
bracis-28404	132	18	 	 	SPACE
bracis-28404	132	19	ghz	ghz	NOUN
bracis-28404	132	20	)	)	PUNCT
bracis-28404	132	21	\(\times	\(\time	NOUN
bracis-28404	132	22	\	\	NOUN
bracis-28404	132	23	)	)	PUNCT
bracis-28404	132	24	10	10	NUM
bracis-28404	132	25	with	with	ADP
bracis-28404	132	26	32	32	NUM
bracis-28404	132	27	gb	gb	NOUN
bracis-28404	132	28	ram	ram	NOUN
bracis-28404	132	29	and	and	CCONJ
bracis-28404	132	30	linux	linux	PROPN
bracis-28404	132	31	ubuntu	ubuntu	NOUN
bracis-28404	132	32	16.04	16.04	NUM
bracis-28404	132	33	64	64	NUM
bracis-28404	132	34	bits	bit	NOUN
bracis-28404	132	35	operating	operate	VERB
bracis-28404	132	36	system	system	NOUN
bracis-28404	132	37	using	use	VERB
bracis-28404	132	38	a	a	DET
bracis-28404	132	39	sample	sample	NOUN
bracis-28404	132	40	of	of	ADP
bracis-28404	132	41	54	54	NUM
bracis-28404	132	42	instances	instance	NOUN
bracis-28404	132	43	.	.	PUNCT
bracis-28404	133	1	this	this	DET
bracis-28404	133	2	set	set	NOUN
bracis-28404	133	3	of	of	ADP
bracis-28404	133	4	benchmark	benchmark	NOUN
bracis-28404	133	5	instances	instance	NOUN
bracis-28404	133	6	,	,	PUNCT
bracis-28404	133	7	called	call	VERB
bracis-28404	133	8	g	g	PROPN
bracis-28404	133	9	set	set	NOUN
bracis-28404	133	10	,	,	PUNCT
bracis-28404	133	11	is	be	AUX
bracis-28404	133	12	available	available	ADJ
bracis-28404	133	13	at	at	ADP
bracis-28404	133	14	http://www.grafo.etsii.urjc.es/optsicom/maxcut	http://www.grafo.etsii.urjc.es/optsicom/maxcut	NUM
bracis-28404	133	15	and	and	CCONJ
bracis-28404	133	16	it	it	PRON
bracis-28404	133	17	was	be	AUX
bracis-28404	133	18	generated	generate	VERB
bracis-28404	133	19	by	by	ADP
bracis-28404	133	20	helmberg	helmberg	PROPN
bracis-28404	133	21	et	et	PROPN
bracis-28404	133	22	al	al	PROPN
bracis-28404	133	23	.	.	PUNCT
bracis-28404	134	1	[	[	X
bracis-28404	134	2	13	13	NUM
bracis-28404	134	3	]	]	PUNCT
bracis-28404	134	4	.	.	PUNCT
bracis-28404	135	1	algorithm	algorithm	NOUN
bracis-28404	135	2	8	8	NUM
bracis-28404	135	3	perturbation	perturbation	NOUN
bracis-28404	135	4	-	-	PUNCT
bracis-28404	135	5	based	base	VERB
bracis-28404	135	6	on	on	ADP
bracis-28404	135	7	tabu	tabu	NOUN
bracis-28404	135	8	search	search	NOUN
bracis-28404	135	9	full	full	ADJ
bracis-28404	135	10	size	size	NOUN
bracis-28404	135	11	image	image	NOUN
bracis-28404	135	12	algorithm	algorithm	NOUN
bracis-28404	135	13	9	9	NUM
bracis-28404	135	14	neighborhood	neighborhood	NOUN
bracis-28404	135	15	move	move	VERB
bracis-28404	135	16	full	full	ADJ
bracis-28404	135	17	size	size	NOUN
bracis-28404	135	18	image	image	NOUN
bracis-28404	135	19	to	to	PART
bracis-28404	135	20	set	set	VERB
bracis-28404	135	21	these	these	DET
bracis-28404	135	22	values	value	NOUN
bracis-28404	135	23	and	and	CCONJ
bracis-28404	135	24	parameters	parameter	NOUN
bracis-28404	135	25	we	we	PRON
bracis-28404	135	26	consider	consider	VERB
bracis-28404	135	27	an	an	DET
bracis-28404	135	28	empirical	empirical	ADJ
bracis-28404	135	29	analysis	analysis	NOUN
bracis-28404	135	30	.	.	PUNCT
bracis-28404	136	1	we	we	PRON
bracis-28404	136	2	tested	test	VERB
bracis-28404	136	3	the	the	DET
bracis-28404	136	4	algorithms	algorithm	NOUN
bracis-28404	136	5	with	with	ADP
bracis-28404	136	6	different	different	ADJ
bracis-28404	136	7	values	value	NOUN
bracis-28404	136	8	for	for	ADP
bracis-28404	136	9	some	some	DET
bracis-28404	136	10	parameters	parameter	NOUN
bracis-28404	136	11	and	and	CCONJ
bracis-28404	136	12	the	the	DET
bracis-28404	136	13	results	result	NOUN
bracis-28404	136	14	did	do	AUX
bracis-28404	136	15	not	not	PART
bracis-28404	136	16	present	present	VERB
bracis-28404	136	17	significant	significant	ADJ
bracis-28404	136	18	differences	difference	NOUN
bracis-28404	136	19	.	.	PUNCT
bracis-28404	137	1	we	we	PRON
bracis-28404	137	2	observed	observe	VERB
bracis-28404	137	3	that	that	SCONJ
bracis-28404	137	4	it	it	PRON
bracis-28404	137	5	is	be	AUX
bracis-28404	137	6	preferable	preferable	ADJ
bracis-28404	137	7	that	that	SCONJ
bracis-28404	137	8	ga	ga	NOUN
bracis-28404	137	9	-	-	PUNCT
bracis-28404	137	10	ts	ts	NOUN
bracis-28404	137	11	manages	manage	VERB
bracis-28404	137	12	fewer	few	ADJ
bracis-28404	137	13	individuals	individual	NOUN
bracis-28404	137	14	per	per	ADP
bracis-28404	137	15	iteration	iteration	NOUN
bracis-28404	137	16	since	since	SCONJ
bracis-28404	137	17	it	it	PRON
bracis-28404	137	18	takes	take	VERB
bracis-28404	137	19	more	more	ADJ
bracis-28404	137	20	time	time	NOUN
bracis-28404	137	21	optimizing	optimize	VERB
bracis-28404	137	22	each	each	DET
bracis-28404	137	23	one	one	NOUN
bracis-28404	137	24	.	.	PUNCT
bracis-28404	138	1	for	for	ADP
bracis-28404	138	2	ga	ga	PROPN
bracis-28404	138	3	-	-	PUNCT
bracis-28404	138	4	oc	oc	PROPN
bracis-28404	138	5	,	,	PUNCT
bracis-28404	138	6	creating	create	VERB
bracis-28404	138	7	more	more	ADJ
bracis-28404	138	8	individuals	individual	NOUN
bracis-28404	138	9	and	and	CCONJ
bracis-28404	138	10	renewing	renew	VERB
bracis-28404	138	11	part	part	NOUN
bracis-28404	138	12	of	of	ADP
bracis-28404	138	13	the	the	DET
bracis-28404	138	14	population	population	NOUN
bracis-28404	138	15	facilitates	facilitate	VERB
bracis-28404	138	16	the	the	DET
bracis-28404	138	17	variety	variety	NOUN
bracis-28404	138	18	and	and	CCONJ
bracis-28404	138	19	the	the	DET
bracis-28404	138	20	quality	quality	NOUN
bracis-28404	138	21	of	of	ADP
bracis-28404	138	22	solutions	solution	NOUN
bracis-28404	138	23	that	that	PRON
bracis-28404	138	24	are	be	AUX
bracis-28404	138	25	optimized	optimize	VERB
bracis-28404	138	26	,	,	PUNCT
bracis-28404	138	27	either	either	CCONJ
bracis-28404	138	28	by	by	ADP
bracis-28404	138	29	the	the	DET
bracis-28404	138	30	inequalities	inequality	NOUN
bracis-28404	138	31	or	or	CCONJ
bracis-28404	138	32	by	by	ADP
bracis-28404	138	33	the	the	DET
bracis-28404	138	34	local	local	ADJ
bracis-28404	138	35	optimization	optimization	NOUN
bracis-28404	138	36	procedure	procedure	NOUN
bracis-28404	138	37	.	.	PUNCT
bracis-28404	139	1	the	the	DET
bracis-28404	139	2	operator	operator	NOUN
bracis-28404	139	3	and	and	CCONJ
bracis-28404	139	4	parameter	parameter	NOUN
bracis-28404	139	5	values	value	NOUN
bracis-28404	139	6	to	to	PART
bracis-28404	139	7	algorithms	algorithms	VERB
bracis-28404	139	8	ga	ga	PROPN
bracis-28404	139	9	-	-	PUNCT
bracis-28404	139	10	oc	oc	PROPN
bracis-28404	139	11	and	and	CCONJ
bracis-28404	139	12	ga	ga	PROPN
bracis-28404	139	13	-	-	PUNCT
bracis-28404	139	14	ts	ts	NOUN
bracis-28404	139	15	are	be	AUX
bracis-28404	139	16	:	:	PUNCT
bracis-28404	139	17	representation	representation	NOUN
bracis-28404	139	18	:	:	PUNCT
bracis-28404	139	19	ga	ga	NOUN
bracis-28404	139	20	-	-	PUNCT
bracis-28404	139	21	oc	oc	PROPN
bracis-28404	139	22	and	and	CCONJ
bracis-28404	139	23	ga	ga	NOUN
bracis-28404	139	24	-	-	PUNCT
bracis-28404	139	25	ts	ts	NOUN
bracis-28404	139	26	use	use	VERB
bracis-28404	139	27	binary	binary	ADJ
bracis-28404	139	28	vector	vector	NOUN
bracis-28404	139	29	representation	representation	NOUN
bracis-28404	139	30	;	;	PUNCT
bracis-28404	139	31	population	population	NOUN
bracis-28404	139	32	:	:	PUNCT
bracis-28404	139	33	the	the	DET
bracis-28404	139	34	initial	initial	ADJ
bracis-28404	139	35	population	population	NOUN
bracis-28404	139	36	size	size	NOUN
bracis-28404	139	37	for	for	ADP
bracis-28404	139	38	ga	ga	PROPN
bracis-28404	139	39	-	-	PUNCT
bracis-28404	139	40	oc	oc	PROPN
bracis-28404	139	41	is	be	AUX
bracis-28404	139	42	300	300	NUM
bracis-28404	139	43	,	,	PUNCT
bracis-28404	139	44	with	with	ADP
bracis-28404	139	45	10\(\%\	10\(\%\	NUM
bracis-28404	139	46	)	)	PUNCT
bracis-28404	139	47	niocs	nioc	NOUN
bracis-28404	139	48	and	and	CCONJ
bracis-28404	139	49	50	50	NUM
bracis-28404	139	50	new	new	ADJ
bracis-28404	139	51	individuals	individual	NOUN
bracis-28404	139	52	are	be	AUX
bracis-28404	139	53	created	create	VERB
bracis-28404	139	54	in	in	ADP
bracis-28404	139	55	each	each	DET
bracis-28404	139	56	generation	generation	NOUN
bracis-28404	139	57	;	;	PUNCT
bracis-28404	139	58	in	in	ADP
bracis-28404	139	59	ga	ga	PROPN
bracis-28404	139	60	-	-	PUNCT
bracis-28404	139	61	ts	ts	PROPN
bracis-28404	139	62	,	,	PUNCT
bracis-28404	139	63	the	the	DET
bracis-28404	139	64	initial	initial	ADJ
bracis-28404	139	65	population	population	NOUN
bracis-28404	139	66	size	size	NOUN
bracis-28404	139	67	is	be	AUX
bracis-28404	139	68	50	50	NUM
bracis-28404	139	69	,	,	PUNCT
bracis-28404	139	70	with	with	ADP
bracis-28404	139	71	10\(\%\	10\(\%\	NUM
bracis-28404	139	72	)	)	PUNCT
bracis-28404	139	73	niocs	nioc	NOUN
bracis-28404	139	74	and	and	CCONJ
bracis-28404	139	75	a	a	DET
bracis-28404	139	76	one	one	NUM
bracis-28404	139	77	individual	individual	NOUN
bracis-28404	139	78	in	in	ADP
bracis-28404	139	79	each	each	DET
bracis-28404	139	80	iteration	iteration	NOUN
bracis-28404	139	81	;	;	PUNCT
bracis-28404	139	82	tournament	tournament	NOUN
bracis-28404	139	83	:	:	PUNCT
bracis-28404	139	84	for	for	ADP
bracis-28404	139	85	both	both	DET
bracis-28404	139	86	algorithms	algorithm	NOUN
bracis-28404	139	87	the	the	DET
bracis-28404	139	88	tournaments	tournament	NOUN
bracis-28404	139	89	use	use	VERB
bracis-28404	139	90	4	4	NUM
bracis-28404	139	91	randomly	randomly	ADV
bracis-28404	139	92	selected	select	VERB
bracis-28404	139	93	individuals	individual	NOUN
bracis-28404	139	94	and	and	CCONJ
bracis-28404	139	95	the	the	DET
bracis-28404	139	96	best	good	ADJ
bracis-28404	139	97	of	of	ADP
bracis-28404	139	98	them	they	PRON
bracis-28404	139	99	is	be	AUX
bracis-28404	139	100	returned	return	VERB
bracis-28404	139	101	;	;	PUNCT
bracis-28404	139	102	crossover	crossover	ADV
bracis-28404	139	103	:	:	PUNCT
bracis-28404	139	104	for	for	ADP
bracis-28404	139	105	both	both	DET
bracis-28404	139	106	algorithms	algorithm	NOUN
bracis-28404	139	107	,	,	PUNCT
bracis-28404	139	108	the	the	DET
bracis-28404	139	109	crossover	crossover	NOUN
bracis-28404	139	110	used	use	VERB
bracis-28404	139	111	is	be	AUX
bracis-28404	139	112	uniform	uniform	ADJ
bracis-28404	139	113	with	with	ADP
bracis-28404	139	114	two	two	NUM
bracis-28404	139	115	individuals	individual	NOUN
bracis-28404	139	116	.	.	PUNCT
bracis-28404	140	1	if	if	SCONJ
bracis-28404	140	2	the	the	DET
bracis-28404	140	3	vertex	vertex	NOUN
bracis-28404	140	4	value	value	NOUN
bracis-28404	140	5	of	of	ADP
bracis-28404	140	6	the	the	DET
bracis-28404	140	7	parents	parent	NOUN
bracis-28404	140	8	is	be	AUX
bracis-28404	140	9	different	different	ADJ
bracis-28404	140	10	,	,	PUNCT
bracis-28404	140	11	the	the	DET
bracis-28404	140	12	child	child	NOUN
bracis-28404	140	13	has	have	VERB
bracis-28404	140	14	a	a	DET
bracis-28404	140	15	chance	chance	NOUN
bracis-28404	140	16	of	of	ADP
bracis-28404	140	17	inheriting	inherit	VERB
bracis-28404	140	18	from	from	ADP
bracis-28404	140	19	the	the	DET
bracis-28404	140	20	fittest	fit	ADJ
bracis-28404	140	21	parent	parent	NOUN
bracis-28404	140	22	.	.	PUNCT
bracis-28404	141	1	the	the	DET
bracis-28404	141	2	crossover	crossover	NOUN
bracis-28404	141	3	procedure	procedure	NOUN
bracis-28404	141	4	also	also	ADV
bracis-28404	141	5	generates	generate	VERB
bracis-28404	141	6	only	only	ADV
bracis-28404	141	7	one	one	NUM
bracis-28404	141	8	child	child	NOUN
bracis-28404	141	9	;	;	PUNCT
bracis-28404	141	10	mutation	mutation	NOUN
bracis-28404	141	11	:	:	PUNCT
bracis-28404	141	12	the	the	DET
bracis-28404	141	13	mutation	mutation	NOUN
bracis-28404	141	14	on	on	ADP
bracis-28404	141	15	ga	ga	PROPN
bracis-28404	141	16	-	-	PUNCT
bracis-28404	141	17	oc	oc	PROPN
bracis-28404	141	18	is	be	AUX
bracis-28404	141	19	applied	apply	VERB
bracis-28404	141	20	to	to	ADP
bracis-28404	141	21	\(20\%\	\(20\%\	NUM
bracis-28404	141	22	)	)	PUNCT
bracis-28404	141	23	of	of	ADP
bracis-28404	141	24	the	the	DET
bracis-28404	141	25	population	population	NOUN
bracis-28404	141	26	,	,	PUNCT
bracis-28404	141	27	excluding	exclude	VERB
bracis-28404	141	28	the	the	DET
bracis-28404	141	29	fittest	fit	ADJ
bracis-28404	141	30	.	.	PUNCT
bracis-28404	142	1	each	each	DET
bracis-28404	142	2	gene	gene	NOUN
bracis-28404	142	3	of	of	ADP
bracis-28404	142	4	the	the	DET
bracis-28404	142	5	selected	select	VERB
bracis-28404	142	6	individuals	individual	NOUN
bracis-28404	142	7	has	have	VERB
bracis-28404	142	8	a	a	DET
bracis-28404	142	9	probability	probability	NOUN
bracis-28404	142	10	of	of	ADP
bracis-28404	142	11	\(10\%\	\(10\%\	NUM
bracis-28404	142	12	)	)	PUNCT
bracis-28404	142	13	to	to	PART
bracis-28404	142	14	change	change	VERB
bracis-28404	142	15	.	.	PUNCT
bracis-28404	143	1	on	on	ADP
bracis-28404	143	2	ga	ga	PROPN
bracis-28404	143	3	-	-	PUNCT
bracis-28404	143	4	ts	ts	PROPN
bracis-28404	143	5	,	,	PUNCT
bracis-28404	143	6	the	the	DET
bracis-28404	143	7	mutation	mutation	NOUN
bracis-28404	143	8	function	function	NOUN
bracis-28404	143	9	is	be	AUX
bracis-28404	143	10	not	not	PART
bracis-28404	143	11	used	use	VERB
bracis-28404	143	12	;	;	PUNCT
bracis-28404	143	13	ts	ts	ADP
bracis-28404	143	14	iterations	iteration	NOUN
bracis-28404	143	15	:	:	PUNCT
bracis-28404	143	16	the	the	DET
bracis-28404	143	17	number	number	NOUN
bracis-28404	143	18	of	of	ADP
bracis-28404	143	19	iterations	iteration	NOUN
bracis-28404	143	20	is	be	AUX
bracis-28404	143	21	\(10	\(10	ADJ
bracis-28404	143	22	^	^	NOUN
bracis-28404	143	23	6\	6\	NOUN
bracis-28404	143	24	)	)	PUNCT
bracis-28404	143	25	;	;	PUNCT
bracis-28404	143	26	stopping	stop	VERB
bracis-28404	143	27	criterion	criterion	NOUN
bracis-28404	143	28	:	:	PUNCT
bracis-28404	143	29	time	time	NOUN
bracis-28404	143	30	limit	limit	NOUN
bracis-28404	143	31	of	of	ADP
bracis-28404	143	32	1800	1800	NUM
bracis-28404	143	33	 	 	SPACE
bracis-28404	143	34	s	s	PROPN
bracis-28404	143	35	for	for	ADP
bracis-28404	143	36	both	both	DET
bracis-28404	143	37	algorithms	algorithm	NOUN
bracis-28404	143	38	.	.	PUNCT
bracis-28404	144	1	to	to	PART
bracis-28404	144	2	show	show	VERB
bracis-28404	144	3	the	the	DET
bracis-28404	144	4	difference	difference	NOUN
bracis-28404	144	5	in	in	ADP
bracis-28404	144	6	the	the	DET
bracis-28404	144	7	quality	quality	NOUN
bracis-28404	144	8	of	of	ADP
bracis-28404	144	9	individuals	individual	NOUN
bracis-28404	144	10	created	create	VERB
bracis-28404	144	11	with	with	ADP
bracis-28404	144	12	the	the	DET
bracis-28404	144	13	use	use	NOUN
bracis-28404	144	14	of	of	ADP
bracis-28404	144	15	optimality	optimality	NOUN
bracis-28404	144	16	cuts	cut	NOUN
bracis-28404	144	17	,	,	PUNCT
bracis-28404	144	18	we	we	PRON
bracis-28404	144	19	select	select	VERB
bracis-28404	144	20	a	a	DET
bracis-28404	144	21	sample	sample	NOUN
bracis-28404	144	22	of	of	ADP
bracis-28404	144	23	12	12	NUM
bracis-28404	144	24	instances	instance	NOUN
bracis-28404	144	25	,	,	PUNCT
bracis-28404	144	26	where	where	SCONJ
bracis-28404	144	27	3	3	NUM
bracis-28404	144	28	are	be	AUX
bracis-28404	144	29	from	from	ADP
bracis-28404	144	30	each	each	DET
bracis-28404	144	31	size	size	NOUN
bracis-28404	144	32	of	of	ADP
bracis-28404	144	33	vertices	vertex	NOUN
bracis-28404	144	34	,	,	PUNCT
bracis-28404	144	35	and	and	CCONJ
bracis-28404	144	36	created	create	VERB
bracis-28404	144	37	a	a	DET
bracis-28404	144	38	population	population	NOUN
bracis-28404	144	39	of	of	ADP
bracis-28404	144	40	50	50	NUM
bracis-28404	144	41	individuals	individual	NOUN
bracis-28404	144	42	through	through	ADP
bracis-28404	144	43	algorithm	algorithm	NOUN
bracis-28404	144	44	 	 	SPACE
bracis-28404	144	45	1	1	NUM
bracis-28404	144	46	,	,	PUNCT
bracis-28404	144	47	referred	refer	VERB
bracis-28404	144	48	here	here	ADV
bracis-28404	144	49	as	as	ADP
bracis-28404	144	50	nioc	nioc	NOUN
bracis-28404	144	51	,	,	PUNCT
bracis-28404	144	52	another	another	DET
bracis-28404	144	53	population	population	NOUN
bracis-28404	144	54	of	of	ADP
bracis-28404	144	55	50	50	NUM
bracis-28404	144	56	randomly	randomly	ADV
bracis-28404	144	57	generated	generate	VERB
bracis-28404	144	58	individuals	individual	NOUN
bracis-28404	144	59	,	,	PUNCT
bracis-28404	144	60	referring	refer	VERB
bracis-28404	144	61	here	here	ADV
bracis-28404	144	62	to	to	PART
bracis-28404	144	63	rci	rci	VERB
bracis-28404	144	64	.	.	PUNCT
bracis-28404	145	1	in	in	ADP
bracis-28404	145	2	the	the	DET
bracis-28404	145	3	population	population	NOUN
bracis-28404	145	4	of	of	ADP
bracis-28404	145	5	rcis	rcis	PROPN
bracis-28404	145	6	,	,	PUNCT
bracis-28404	145	7	the	the	DET
bracis-28404	145	8	local	local	ADJ
bracis-28404	145	9	optimization	optimization	NOUN
bracis-28404	145	10	procedure	procedure	NOUN
bracis-28404	145	11	(	(	PUNCT
bracis-28404	145	12	algorithm	algorithm	NOUN
bracis-28404	145	13	 	 	SPACE
bracis-28404	145	14	3	3	NUM
bracis-28404	145	15	)	)	PUNCT
bracis-28404	145	16	was	be	AUX
bracis-28404	145	17	also	also	ADV
bracis-28404	145	18	used	use	VERB
bracis-28404	145	19	on	on	ADP
bracis-28404	145	20	all	all	DET
bracis-28404	145	21	individuals	individual	NOUN
bracis-28404	145	22	.	.	PUNCT
bracis-28404	146	1	the	the	DET
bracis-28404	146	2	results	result	NOUN
bracis-28404	146	3	are	be	AUX
bracis-28404	146	4	in	in	ADP
bracis-28404	146	5	table	table	NOUN
bracis-28404	146	6	 	 	SPACE
bracis-28404	146	7	1	1	NUM
bracis-28404	146	8	,	,	PUNCT
bracis-28404	146	9	the	the	DET
bracis-28404	146	10	first	first	ADJ
bracis-28404	146	11	and	and	CCONJ
bracis-28404	146	12	second	second	ADJ
bracis-28404	146	13	columns	column	NOUN
bracis-28404	146	14	(	(	PUNCT
bracis-28404	146	15	graph	graph	NOUN
bracis-28404	146	16	,	,	PUNCT
bracis-28404	146	17	n	n	CCONJ
bracis-28404	146	18	)	)	PUNCT
bracis-28404	146	19	are	be	AUX
bracis-28404	146	20	the	the	DET
bracis-28404	146	21	instance	instance	NOUN
bracis-28404	146	22	name	name	NOUN
bracis-28404	146	23	and	and	CCONJ
bracis-28404	146	24	the	the	DET
bracis-28404	146	25	number	number	NOUN
bracis-28404	146	26	of	of	ADP
bracis-28404	146	27	vertices	vertex	NOUN
bracis-28404	146	28	.	.	PUNCT
bracis-28404	147	1	for	for	ADP
bracis-28404	147	2	each	each	DET
bracis-28404	147	3	algorithm	algorithm	NOUN
bracis-28404	147	4	(	(	PUNCT
bracis-28404	147	5	nioc	nioc	PROPN
bracis-28404	147	6	,	,	PUNCT
bracis-28404	147	7	rci	rci	PROPN
bracis-28404	147	8	and	and	CCONJ
bracis-28404	147	9	the	the	DET
bracis-28404	147	10	rci	rci	NOUN
bracis-28404	147	11	with	with	ADP
bracis-28404	147	12	local	local	ADJ
bracis-28404	147	13	optimization	optimization	NOUN
bracis-28404	147	14	rci	rci	PROPN
bracis-28404	147	15	-	-	PUNCT
bracis-28404	147	16	lo	lo	PROPN
bracis-28404	147	17	)	)	PUNCT
bracis-28404	147	18	there	there	PRON
bracis-28404	147	19	are	be	VERB
bracis-28404	147	20	two	two	NUM
bracis-28404	147	21	columns	column	NOUN
bracis-28404	147	22	(	(	PUNCT
bracis-28404	147	23	avg	avg	PROPN
bracis-28404	147	24	,	,	PUNCT
bracis-28404	147	25	dev	dev	PROPN
bracis-28404	147	26	)	)	PUNCT
bracis-28404	147	27	that	that	PRON
bracis-28404	147	28	inform	inform	VERB
bracis-28404	147	29	the	the	DET
bracis-28404	147	30	average	average	ADJ
bracis-28404	147	31	and	and	CCONJ
bracis-28404	147	32	standard	standard	ADJ
bracis-28404	147	33	deviation	deviation	NOUN
bracis-28404	147	34	of	of	ADP
bracis-28404	147	35	the	the	DET
bracis-28404	147	36	cut	cut	NOUN
bracis-28404	147	37	values	value	NOUN
bracis-28404	147	38	,	,	PUNCT
bracis-28404	147	39	respectively	respectively	ADV
bracis-28404	147	40	.	.	PUNCT
bracis-28404	148	1	the	the	DET
bracis-28404	148	2	highest	high	ADJ
bracis-28404	148	3	averages	average	NOUN
bracis-28404	148	4	are	be	AUX
bracis-28404	148	5	in	in	ADP
bracis-28404	148	6	bold	bold	ADJ
bracis-28404	148	7	.	.	PUNCT
bracis-28404	149	1	in	in	ADP
bracis-28404	149	2	all	all	DET
bracis-28404	149	3	12	12	NUM
bracis-28404	149	4	sample	sample	NOUN
bracis-28404	149	5	instances	instance	NOUN
bracis-28404	149	6	,	,	PUNCT
bracis-28404	149	7	the	the	DET
bracis-28404	149	8	nioc	nioc	ADJ
bracis-28404	149	9	population	population	NOUN
bracis-28404	149	10	consistently	consistently	ADV
bracis-28404	149	11	exhibits	exhibit	VERB
bracis-28404	149	12	higher	high	ADJ
bracis-28404	149	13	mean	mean	ADJ
bracis-28404	149	14	values	value	NOUN
bracis-28404	149	15	compared	compare	VERB
bracis-28404	149	16	to	to	ADP
bracis-28404	149	17	rci	rci	PROPN
bracis-28404	149	18	and	and	CCONJ
bracis-28404	149	19	rci	rci	PROPN
bracis-28404	149	20	-	-	PUNCT
bracis-28404	149	21	lo	lo	PROPN
bracis-28404	149	22	.	.	PUNCT
bracis-28404	150	1	this	this	DET
bracis-28404	150	2	superiority	superiority	NOUN
bracis-28404	150	3	is	be	AUX
bracis-28404	150	4	also	also	ADV
bracis-28404	150	5	observed	observe	VERB
bracis-28404	150	6	in	in	ADP
bracis-28404	150	7	the	the	DET
bracis-28404	150	8	average	average	ADJ
bracis-28404	150	9	standard	standard	ADJ
bracis-28404	150	10	deviation	deviation	NOUN
bracis-28404	150	11	,	,	PUNCT
bracis-28404	150	12	except	except	SCONJ
bracis-28404	150	13	for	for	ADP
bracis-28404	150	14	instance	instance	NOUN
bracis-28404	150	15	g46	g46	NOUN
bracis-28404	150	16	where	where	SCONJ
bracis-28404	150	17	nioc	nioc	NOUN
bracis-28404	150	18	did	do	AUX
bracis-28404	150	19	not	not	PART
bracis-28404	150	20	achieve	achieve	VERB
bracis-28404	150	21	the	the	DET
bracis-28404	150	22	best	good	ADJ
bracis-28404	150	23	result	result	NOUN
bracis-28404	150	24	.	.	PUNCT
bracis-28404	151	1	the	the	DET
bracis-28404	151	2	results	result	NOUN
bracis-28404	151	3	of	of	ADP
bracis-28404	151	4	rci	rci	NOUN
bracis-28404	151	5	-	-	PUNCT
bracis-28404	151	6	lo	lo	PROPN
bracis-28404	151	7	demonstrate	demonstrate	VERB
bracis-28404	151	8	the	the	DET
bracis-28404	151	9	effectiveness	effectiveness	NOUN
bracis-28404	151	10	of	of	ADP
bracis-28404	151	11	the	the	DET
bracis-28404	151	12	local	local	ADJ
bracis-28404	151	13	optimization	optimization	NOUN
bracis-28404	151	14	procedure	procedure	NOUN
bracis-28404	151	15	in	in	ADP
bracis-28404	151	16	improving	improve	VERB
bracis-28404	151	17	the	the	DET
bracis-28404	151	18	quality	quality	NOUN
bracis-28404	151	19	of	of	ADP
bracis-28404	151	20	randomly	randomly	ADV
bracis-28404	151	21	generated	generate	VERB
bracis-28404	151	22	individuals	individual	NOUN
bracis-28404	151	23	across	across	ADP
bracis-28404	151	24	all	all	DET
bracis-28404	151	25	tested	test	VERB
bracis-28404	151	26	instances	instance	NOUN
bracis-28404	151	27	.	.	PUNCT
bracis-28404	152	1	these	these	DET
bracis-28404	152	2	findings	finding	NOUN
bracis-28404	152	3	highlight	highlight	VERB
bracis-28404	152	4	the	the	DET
bracis-28404	152	5	positive	positive	ADJ
bracis-28404	152	6	impact	impact	NOUN
bracis-28404	152	7	of	of	ADP
bracis-28404	152	8	incorporating	incorporate	VERB
bracis-28404	152	9	optimality	optimality	NOUN
bracis-28404	152	10	cuts	cut	NOUN
bracis-28404	152	11	on	on	ADP
bracis-28404	152	12	the	the	DET
bracis-28404	152	13	overall	overall	ADJ
bracis-28404	152	14	output	output	NOUN
bracis-28404	152	15	quality	quality	NOUN
bracis-28404	152	16	of	of	ADP
bracis-28404	152	17	the	the	DET
bracis-28404	152	18	algorithm	algorithm	NOUN
bracis-28404	152	19	,	,	PUNCT
bracis-28404	152	20	enabling	enable	VERB
bracis-28404	152	21	the	the	DET
bracis-28404	152	22	generation	generation	NOUN
bracis-28404	152	23	of	of	ADP
bracis-28404	152	24	solutions	solution	NOUN
bracis-28404	152	25	with	with	ADP
bracis-28404	152	26	higher	high	ADJ
bracis-28404	152	27	cut	cut	NOUN
bracis-28404	152	28	values	value	NOUN
bracis-28404	152	29	within	within	ADP
bracis-28404	152	30	a	a	DET
bracis-28404	152	31	shorter	short	ADJ
bracis-28404	152	32	timeframe	timeframe	NOUN
bracis-28404	152	33	.	.	PUNCT
bracis-28404	153	1	however	however	ADV
bracis-28404	153	2	,	,	PUNCT
bracis-28404	153	3	it	it	PRON
bracis-28404	153	4	is	be	AUX
bracis-28404	153	5	important	important	ADJ
bracis-28404	153	6	to	to	PART
bracis-28404	153	7	acknowledge	acknowledge	VERB
bracis-28404	153	8	that	that	SCONJ
bracis-28404	153	9	relying	rely	VERB
bracis-28404	153	10	solely	solely	ADV
bracis-28404	153	11	on	on	ADP
bracis-28404	153	12	optimality	optimality	NOUN
bracis-28404	153	13	cuts	cut	NOUN
bracis-28404	153	14	for	for	ADP
bracis-28404	153	15	optimization	optimization	NOUN
bracis-28404	153	16	may	may	AUX
bracis-28404	153	17	lead	lead	VERB
bracis-28404	153	18	to	to	ADP
bracis-28404	153	19	individuals	individual	NOUN
bracis-28404	153	20	getting	getting	AUX
bracis-28404	153	21	trapped	trap	VERB
bracis-28404	153	22	in	in	ADP
bracis-28404	153	23	local	local	ADJ
bracis-28404	153	24	maxima	maxima	NOUN
bracis-28404	153	25	more	more	ADV
bracis-28404	153	26	quickly	quickly	ADV
bracis-28404	153	27	than	than	ADP
bracis-28404	153	28	other	other	ADJ
bracis-28404	153	29	methods	method	NOUN
bracis-28404	153	30	like	like	ADP
bracis-28404	153	31	rcis	rcis	PROPN
bracis-28404	153	32	.	.	PUNCT
bracis-28404	154	1	to	to	PART
bracis-28404	154	2	address	address	VERB
bracis-28404	154	3	this	this	DET
bracis-28404	154	4	limitation	limitation	NOUN
bracis-28404	154	5	,	,	PUNCT
bracis-28404	154	6	we	we	PRON
bracis-28404	154	7	have	have	AUX
bracis-28404	154	8	implemented	implement	VERB
bracis-28404	154	9	additional	additional	ADJ
bracis-28404	154	10	measures	measure	NOUN
bracis-28404	154	11	such	such	ADJ
bracis-28404	154	12	as	as	ADP
bracis-28404	154	13	an	an	DET
bracis-28404	154	14	alternative	alternative	ADJ
bracis-28404	154	15	local	local	ADJ
bracis-28404	154	16	optimization	optimization	NOUN
bracis-28404	154	17	procedure	procedure	NOUN
bracis-28404	154	18	,	,	PUNCT
bracis-28404	154	19	a	a	DET
bracis-28404	154	20	high	high	ADJ
bracis-28404	154	21	mutation	mutation	NOUN
bracis-28404	154	22	rate	rate	NOUN
bracis-28404	154	23	,	,	PUNCT
bracis-28404	154	24	and	and	CCONJ
bracis-28404	154	25	a	a	DET
bracis-28404	154	26	preference	preference	NOUN
bracis-28404	154	27	for	for	ADP
bracis-28404	154	28	maximum	maximum	ADJ
bracis-28404	154	29	diversity	diversity	NOUN
bracis-28404	154	30	during	during	ADP
bracis-28404	154	31	the	the	DET
bracis-28404	154	32	selection	selection	NOUN
bracis-28404	154	33	process	process	NOUN
bracis-28404	154	34	.	.	PUNCT
bracis-28404	155	1	these	these	DET
bracis-28404	155	2	measures	measure	NOUN
bracis-28404	155	3	aim	aim	VERB
bracis-28404	155	4	to	to	PART
bracis-28404	155	5	mitigate	mitigate	VERB
bracis-28404	155	6	the	the	DET
bracis-28404	155	7	risk	risk	NOUN
bracis-28404	155	8	of	of	ADP
bracis-28404	155	9	premature	premature	ADJ
bracis-28404	155	10	convergence	convergence	NOUN
bracis-28404	155	11	and	and	CCONJ
bracis-28404	155	12	enhance	enhance	VERB
bracis-28404	155	13	the	the	DET
bracis-28404	155	14	algorithm	algorithm	NOUN
bracis-28404	155	15	’s	’s	PART
bracis-28404	155	16	exploration	exploration	NOUN
bracis-28404	155	17	capabilities	capability	NOUN
bracis-28404	155	18	,	,	PUNCT
bracis-28404	155	19	enabling	enable	VERB
bracis-28404	155	20	it	it	PRON
bracis-28404	155	21	to	to	PART
bracis-28404	155	22	search	search	VERB
bracis-28404	155	23	for	for	ADP
bracis-28404	155	24	more	more	ADV
bracis-28404	155	25	optimal	optimal	ADJ
bracis-28404	155	26	solutions	solution	NOUN
bracis-28404	155	27	across	across	ADP
bracis-28404	155	28	a	a	DET
bracis-28404	155	29	wider	wide	ADJ
bracis-28404	155	30	solution	solution	NOUN
bracis-28404	155	31	space	space	NOUN
bracis-28404	155	32	.	.	PUNCT
bracis-28404	156	1	the	the	DET
bracis-28404	156	2	second	second	ADJ
bracis-28404	156	3	experiment	experiment	NOUN
bracis-28404	156	4	compares	compare	VERB
bracis-28404	156	5	two	two	NUM
bracis-28404	156	6	versions	version	NOUN
bracis-28404	156	7	of	of	ADP
bracis-28404	156	8	our	our	PRON
bracis-28404	156	9	algorithm	algorithm	NOUN
bracis-28404	156	10	,	,	PUNCT
bracis-28404	156	11	ga	ga	PROPN
bracis-28404	156	12	-	-	PUNCT
bracis-28404	156	13	oc	oc	PROPN
bracis-28404	156	14	and	and	CCONJ
bracis-28404	156	15	ga	ga	PROPN
bracis-28404	156	16	-	-	PUNCT
bracis-28404	156	17	ts	ts	PROPN
bracis-28404	156	18	,	,	PUNCT
bracis-28404	156	19	with	with	ADP
bracis-28404	156	20	a	a	DET
bracis-28404	156	21	standard	standard	ADJ
bracis-28404	156	22	genetic	genetic	ADJ
bracis-28404	156	23	algorithm	algorithm	NOUN
bracis-28404	156	24	implementation	implementation	NOUN
bracis-28404	156	25	.	.	PUNCT
bracis-28404	157	1	we	we	PRON
bracis-28404	157	2	conducted	conduct	VERB
bracis-28404	157	3	30	30	NUM
bracis-28404	157	4	runs	run	NOUN
bracis-28404	157	5	of	of	ADP
bracis-28404	157	6	ga	ga	PROPN
bracis-28404	157	7	-	-	PUNCT
bracis-28404	157	8	oc	oc	PROPN
bracis-28404	157	9	,	,	PUNCT
bracis-28404	157	10	ga	ga	PROPN
bracis-28404	157	11	-	-	PUNCT
bracis-28404	157	12	ts	ts	NOUN
bracis-28404	157	13	,	,	PUNCT
bracis-28404	157	14	and	and	CCONJ
bracis-28404	157	15	the	the	DET
bracis-28404	157	16	standard	standard	PROPN
bracis-28404	157	17	ga	ga	PROPN
bracis-28404	157	18	algorithm	algorithm	NOUN
bracis-28404	157	19	for	for	ADP
bracis-28404	157	20	each	each	PRON
bracis-28404	157	21	of	of	ADP
bracis-28404	157	22	the	the	DET
bracis-28404	157	23	54	54	NUM
bracis-28404	157	24	instances	instance	NOUN
bracis-28404	157	25	.	.	PUNCT
bracis-28404	158	1	table	table	NOUN
bracis-28404	158	2	 	 	SPACE
bracis-28404	158	3	3	3	NUM
bracis-28404	158	4	presents	present	VERB
bracis-28404	158	5	the	the	DET
bracis-28404	158	6	average	average	ADJ
bracis-28404	158	7	,	,	PUNCT
bracis-28404	158	8	standard	standard	ADJ
bracis-28404	158	9	deviation	deviation	NOUN
bracis-28404	158	10	,	,	PUNCT
bracis-28404	158	11	and	and	CCONJ
bracis-28404	158	12	minimum	minimum	NOUN
bracis-28404	158	13	values	value	NOUN
bracis-28404	158	14	obtained	obtain	VERB
bracis-28404	158	15	by	by	ADP
bracis-28404	158	16	each	each	PRON
bracis-28404	158	17	of	of	ADP
bracis-28404	158	18	the	the	DET
bracis-28404	158	19	algorithms	algorithm	NOUN
bracis-28404	158	20	.	.	PUNCT
bracis-28404	159	1	considering	consider	VERB
bracis-28404	159	2	the	the	DET
bracis-28404	159	3	results	result	NOUN
bracis-28404	159	4	,	,	PUNCT
bracis-28404	159	5	the	the	DET
bracis-28404	159	6	hybrid	hybrid	ADJ
bracis-28404	159	7	approaches	approach	NOUN
bracis-28404	159	8	outperform	outperform	VERB
bracis-28404	159	9	the	the	DET
bracis-28404	159	10	default	default	NOUN
bracis-28404	159	11	version	version	NOUN
bracis-28404	159	12	of	of	ADP
bracis-28404	159	13	the	the	DET
bracis-28404	159	14	ga	ga	PROPN
bracis-28404	159	15	for	for	ADP
bracis-28404	159	16	all	all	DET
bracis-28404	159	17	instances	instance	NOUN
bracis-28404	159	18	.	.	PUNCT
bracis-28404	160	1	considering	consider	VERB
bracis-28404	160	2	only	only	ADV
bracis-28404	160	3	the	the	DET
bracis-28404	160	4	two	two	NUM
bracis-28404	160	5	versions	version	NOUN
bracis-28404	160	6	of	of	ADP
bracis-28404	160	7	ga	ga	NOUN
bracis-28404	160	8	using	use	VERB
bracis-28404	160	9	the	the	DET
bracis-28404	160	10	optimality	optimality	NOUN
bracis-28404	160	11	cuts	cut	NOUN
bracis-28404	160	12	,	,	PUNCT
bracis-28404	160	13	the	the	DET
bracis-28404	160	14	algorithm	algorithm	PROPN
bracis-28404	160	15	ga	ga	PROPN
bracis-28404	160	16	-	-	PUNCT
bracis-28404	160	17	oc	oc	PROPN
bracis-28404	160	18	outperforms	outperform	NOUN
bracis-28404	160	19	ga	ga	PROPN
bracis-28404	160	20	-	-	PUNCT
bracis-28404	160	21	ts	ts	NOUN
bracis-28404	160	22	with	with	ADP
bracis-28404	160	23	respect	respect	NOUN
bracis-28404	160	24	to	to	ADP
bracis-28404	160	25	the	the	DET
bracis-28404	160	26	averages	average	NOUN
bracis-28404	160	27	and	and	CCONJ
bracis-28404	160	28	lowest	low	ADJ
bracis-28404	160	29	values	value	NOUN
bracis-28404	160	30	.	.	PUNCT
bracis-28404	161	1	for	for	ADP
bracis-28404	161	2	all	all	DET
bracis-28404	161	3	instances	instance	NOUN
bracis-28404	161	4	,	,	PUNCT
bracis-28404	161	5	ga	ga	PROPN
bracis-28404	161	6	-	-	PUNCT
bracis-28404	161	7	oc	oc	PROPN
bracis-28404	161	8	has	have	VERB
bracis-28404	161	9	28	28	NUM
bracis-28404	161	10	highest	high	ADJ
bracis-28404	161	11	values	value	NOUN
bracis-28404	161	12	of	of	ADP
bracis-28404	161	13	column	column	NOUN
bracis-28404	161	14	min	min	PROPN
bracis-28404	161	15	,	,	PUNCT
bracis-28404	161	16	and	and	CCONJ
bracis-28404	161	17	in	in	ADP
bracis-28404	161	18	6	6	NUM
bracis-28404	161	19	cases	case	NOUN
bracis-28404	161	20	the	the	DET
bracis-28404	161	21	value	value	NOUN
bracis-28404	161	22	is	be	AUX
bracis-28404	161	23	the	the	DET
bracis-28404	161	24	same	same	ADJ
bracis-28404	161	25	,	,	PUNCT
bracis-28404	161	26	while	while	SCONJ
bracis-28404	161	27	for	for	SCONJ
bracis-28404	161	28	the	the	DET
bracis-28404	161	29	20	20	NUM
bracis-28404	161	30	remaining	remain	VERB
bracis-28404	161	31	the	the	DET
bracis-28404	161	32	value	value	NOUN
bracis-28404	161	33	of	of	ADP
bracis-28404	161	34	ga	ga	PROPN
bracis-28404	161	35	-	-	PUNCT
bracis-28404	161	36	oc	oc	PROPN
bracis-28404	161	37	is	be	AUX
bracis-28404	161	38	less	less	ADJ
bracis-28404	161	39	than	than	ADP
bracis-28404	161	40	ga	ga	NOUN
bracis-28404	161	41	-	-	PUNCT
bracis-28404	161	42	ts	ts	NOUN
bracis-28404	161	43	.	.	PUNCT
bracis-28404	162	1	considering	consider	VERB
bracis-28404	162	2	columns	column	NOUN
bracis-28404	162	3	avg	avg	PROPN
bracis-28404	162	4	,	,	PUNCT
bracis-28404	162	5	to	to	ADP
bracis-28404	162	6	29	29	NUM
bracis-28404	162	7	instances	instance	NOUN
bracis-28404	162	8	ga	ga	NOUN
bracis-28404	162	9	-	-	PUNCT
bracis-28404	162	10	oc	oc	PROPN
bracis-28404	162	11	is	be	AUX
bracis-28404	162	12	the	the	DET
bracis-28404	162	13	highest	high	ADJ
bracis-28404	162	14	,	,	PUNCT
bracis-28404	162	15	4	4	NUM
bracis-28404	162	16	were	be	AUX
bracis-28404	162	17	draws	draw	NOUN
bracis-28404	162	18	,	,	PUNCT
bracis-28404	162	19	and	and	CCONJ
bracis-28404	162	20	ga	ga	PROPN
bracis-28404	162	21	-	-	PUNCT
bracis-28404	162	22	ts	ts	PROPN
bracis-28404	162	23	has	have	VERB
bracis-28404	162	24	higher	high	ADJ
bracis-28404	162	25	values	value	NOUN
bracis-28404	162	26	in	in	ADP
bracis-28404	162	27	others	other	NOUN
bracis-28404	162	28	21	21	NUM
bracis-28404	162	29	.	.	PUNCT
bracis-28404	163	1	for	for	ADP
bracis-28404	163	2	column	column	PROPN
bracis-28404	163	3	dev	dev	PROPN
bracis-28404	163	4	,	,	PUNCT
bracis-28404	163	5	ga	ga	PROPN
bracis-28404	163	6	-	-	PUNCT
bracis-28404	163	7	oc	oc	PROPN
bracis-28404	163	8	has	have	VERB
bracis-28404	163	9	a	a	DET
bracis-28404	163	10	smaller	small	ADJ
bracis-28404	163	11	variation	variation	NOUN
bracis-28404	163	12	in	in	ADP
bracis-28404	163	13	solutions	solution	NOUN
bracis-28404	163	14	,	,	PUNCT
bracis-28404	163	15	such	such	ADJ
bracis-28404	163	16	that	that	SCONJ
bracis-28404	163	17	for	for	ADP
bracis-28404	163	18	30	30	NUM
bracis-28404	163	19	instances	instance	NOUN
bracis-28404	163	20	it	it	PRON
bracis-28404	163	21	has	have	VERB
bracis-28404	163	22	the	the	DET
bracis-28404	163	23	standard	standard	ADJ
bracis-28404	163	24	deviation	deviation	NOUN
bracis-28404	163	25	value	value	NOUN
bracis-28404	163	26	less	less	ADJ
bracis-28404	163	27	than	than	ADP
bracis-28404	163	28	ga	ga	NOUN
bracis-28404	163	29	-	-	PUNCT
bracis-28404	163	30	ts	ts	NOUN
bracis-28404	163	31	,	,	PUNCT
bracis-28404	163	32	to	to	ADP
bracis-28404	163	33	4	4	NUM
bracis-28404	163	34	instances	instance	NOUN
bracis-28404	163	35	both	both	CCONJ
bracis-28404	163	36	the	the	DET
bracis-28404	163	37	algorithms	algorithm	NOUN
bracis-28404	163	38	have	have	VERB
bracis-28404	163	39	value	value	NOUN
bracis-28404	163	40	0	0	NUM
bracis-28404	163	41	of	of	ADP
bracis-28404	163	42	standard	standard	ADJ
bracis-28404	163	43	deviation	deviation	NOUN
bracis-28404	163	44	and	and	CCONJ
bracis-28404	163	45	for	for	ADP
bracis-28404	163	46	the	the	DET
bracis-28404	163	47	remaining	remain	VERB
bracis-28404	163	48	20	20	NUM
bracis-28404	163	49	instances	instance	NOUN
bracis-28404	163	50	ga	ga	NOUN
bracis-28404	163	51	-	-	PUNCT
bracis-28404	163	52	ts	ts	NOUN
bracis-28404	163	53	has	have	VERB
bracis-28404	163	54	smaller	small	ADJ
bracis-28404	163	55	values	value	NOUN
bracis-28404	163	56	.	.	PUNCT
bracis-28404	164	1	based	base	VERB
bracis-28404	164	2	on	on	ADP
bracis-28404	164	3	these	these	DET
bracis-28404	164	4	results	result	NOUN
bracis-28404	164	5	,	,	PUNCT
bracis-28404	164	6	the	the	DET
bracis-28404	164	7	probability	probability	NOUN
bracis-28404	164	8	associated	associate	VERB
bracis-28404	164	9	with	with	ADP
bracis-28404	164	10	the	the	DET
bracis-28404	164	11	t	t	PROPN
bracis-28404	164	12	-	-	PUNCT
bracis-28404	164	13	test	test	NOUN
bracis-28404	164	14	was	be	AUX
bracis-28404	164	15	calculated	calculate	VERB
bracis-28404	164	16	using	use	VERB
bracis-28404	164	17	the	the	DET
bracis-28404	164	18	mean	mean	ADJ
bracis-28404	164	19	values	value	NOUN
bracis-28404	164	20	(	(	PUNCT
bracis-28404	164	21	columns	column	NOUN
bracis-28404	164	22	4	4	NUM
bracis-28404	164	23	and	and	CCONJ
bracis-28404	164	24	7	7	NUM
bracis-28404	164	25	)	)	PUNCT
bracis-28404	164	26	obtained	obtain	VERB
bracis-28404	164	27	by	by	ADP
bracis-28404	164	28	the	the	DET
bracis-28404	164	29	ga	ga	PROPN
bracis-28404	164	30	-	-	PUNCT
bracis-28404	164	31	oc	oc	PROPN
bracis-28404	164	32	and	and	CCONJ
bracis-28404	165	1	ga	ga	NOUN
bracis-28404	165	2	-	-	PUNCT
bracis-28404	165	3	ts	ts	NOUN
bracis-28404	165	4	algorithms	algorithm	NOUN
bracis-28404	165	5	across	across	ADP
bracis-28404	165	6	the	the	DET
bracis-28404	165	7	54	54	NUM
bracis-28404	165	8	instances	instance	NOUN
bracis-28404	165	9	,	,	PUNCT
bracis-28404	165	10	using	use	VERB
bracis-28404	165	11	a	a	DET
bracis-28404	165	12	two	two	NUM
bracis-28404	165	13	-	-	PUNCT
bracis-28404	165	14	tailed	tail	VERB
bracis-28404	165	15	distribution	distribution	NOUN
bracis-28404	165	16	and	and	CCONJ
bracis-28404	165	17	a	a	DET
bracis-28404	165	18	95	95	NUM
bracis-28404	165	19	%	%	NOUN
bracis-28404	165	20	confidence	confidence	NOUN
bracis-28404	165	21	interval	interval	NOUN
bracis-28404	165	22	as	as	ADP
bracis-28404	165	23	parameters	parameter	NOUN
bracis-28404	165	24	.	.	PUNCT
bracis-28404	166	1	the	the	DET
bracis-28404	166	2	p	p	NOUN
bracis-28404	166	3	-	-	PUNCT
bracis-28404	166	4	value	value	NOUN
bracis-28404	166	5	of	of	ADP
bracis-28404	166	6	0.009	0.009	NUM
bracis-28404	166	7	indicates	indicate	VERB
bracis-28404	166	8	that	that	SCONJ
bracis-28404	166	9	the	the	DET
bracis-28404	166	10	difference	difference	NOUN
bracis-28404	166	11	between	between	ADP
bracis-28404	166	12	the	the	DET
bracis-28404	166	13	means	mean	NOUN
bracis-28404	166	14	of	of	ADP
bracis-28404	166	15	the	the	DET
bracis-28404	166	16	algorithms	algorithms	NOUN
bracis-28404	166	17	is	be	AUX
bracis-28404	166	18	statistically	statistically	ADV
bracis-28404	166	19	significant	significant	ADJ
bracis-28404	166	20	.	.	PUNCT
bracis-28404	167	1	we	we	PRON
bracis-28404	167	2	compared	compare	VERB
bracis-28404	167	3	the	the	DET
bracis-28404	167	4	results	result	NOUN
bracis-28404	167	5	of	of	ADP
bracis-28404	167	6	our	our	PRON
bracis-28404	167	7	algorithms	algorithm	NOUN
bracis-28404	167	8	with	with	ADP
bracis-28404	167	9	the	the	DET
bracis-28404	167	10	most	most	ADV
bracis-28404	167	11	effective	effective	ADJ
bracis-28404	167	12	heuristics	heuristic	NOUN
bracis-28404	167	13	currently	currently	ADV
bracis-28404	167	14	in	in	ADP
bracis-28404	167	15	the	the	DET
bracis-28404	167	16	literature	literature	NOUN
bracis-28404	167	17	.	.	PUNCT
bracis-28404	168	1	it	it	PRON
bracis-28404	168	2	is	be	AUX
bracis-28404	168	3	important	important	ADJ
bracis-28404	168	4	to	to	PART
bracis-28404	168	5	emphasize	emphasize	VERB
bracis-28404	168	6	that	that	SCONJ
bracis-28404	168	7	the	the	DET
bracis-28404	168	8	conditions	condition	NOUN
bracis-28404	168	9	and	and	CCONJ
bracis-28404	168	10	configuration	configuration	NOUN
bracis-28404	168	11	parameters	parameter	NOUN
bracis-28404	168	12	of	of	ADP
bracis-28404	168	13	our	our	PRON
bracis-28404	168	14	algorithms	algorithm	NOUN
bracis-28404	168	15	were	be	AUX
bracis-28404	168	16	set	set	VERB
bracis-28404	168	17	under	under	ADP
bracis-28404	168	18	different	different	ADJ
bracis-28404	168	19	circumstances	circumstance	NOUN
bracis-28404	168	20	than	than	ADP
bracis-28404	168	21	those	those	PRON
bracis-28404	168	22	reported	report	VERB
bracis-28404	168	23	in	in	ADP
bracis-28404	168	24	the	the	DET
bracis-28404	168	25	literature	literature	NOUN
bracis-28404	168	26	for	for	ADP
bracis-28404	168	27	the	the	DET
bracis-28404	168	28	compared	compare	VERB
bracis-28404	168	29	heuristics	heuristic	NOUN
bracis-28404	168	30	,	,	PUNCT
bracis-28404	168	31	such	such	ADJ
bracis-28404	168	32	as	as	ADP
bracis-28404	168	33	the	the	DET
bracis-28404	168	34	programming	programming	NOUN
bracis-28404	168	35	languages	language	NOUN
bracis-28404	168	36	used	use	VERB
bracis-28404	168	37	,	,	PUNCT
bracis-28404	168	38	termination	termination	NOUN
bracis-28404	168	39	criteria	criterion	NOUN
bracis-28404	168	40	,	,	PUNCT
bracis-28404	168	41	and	and	CCONJ
bracis-28404	168	42	hardware	hardware	NOUN
bracis-28404	168	43	configuration	configuration	NOUN
bracis-28404	168	44	.	.	PUNCT
bracis-28404	169	1	therefore	therefore	ADV
bracis-28404	169	2	,	,	PUNCT
bracis-28404	169	3	no	no	DET
bracis-28404	169	4	implementation	implementation	NOUN
bracis-28404	169	5	of	of	ADP
bracis-28404	169	6	the	the	DET
bracis-28404	169	7	algorithms	algorithm	NOUN
bracis-28404	169	8	from	from	ADP
bracis-28404	169	9	the	the	DET
bracis-28404	169	10	compared	compare	VERB
bracis-28404	169	11	papers	paper	NOUN
bracis-28404	169	12	was	be	AUX
bracis-28404	169	13	conducted	conduct	VERB
bracis-28404	169	14	.	.	PUNCT
bracis-28404	170	1	only	only	ADV
bracis-28404	170	2	the	the	DET
bracis-28404	170	3	results	result	NOUN
bracis-28404	170	4	presented	present	VERB
bracis-28404	170	5	by	by	ADP
bracis-28404	170	6	the	the	DET
bracis-28404	170	7	authors	author	NOUN
bracis-28404	170	8	were	be	AUX
bracis-28404	170	9	used	use	VERB
bracis-28404	170	10	for	for	ADP
bracis-28404	170	11	the	the	DET
bracis-28404	170	12	purpose	purpose	NOUN
bracis-28404	170	13	of	of	ADP
bracis-28404	170	14	comparison	comparison	NOUN
bracis-28404	170	15	with	with	ADP
bracis-28404	170	16	our	our	PRON
bracis-28404	170	17	algorithms	algorithm	NOUN
bracis-28404	170	18	.	.	PUNCT
bracis-28404	171	1	table	table	NOUN
bracis-28404	171	2	 	 	SPACE
bracis-28404	171	3	4	4	NUM
bracis-28404	171	4	compares	compare	VERB
bracis-28404	171	5	our	our	PRON
bracis-28404	171	6	approaches	approach	NOUN
bracis-28404	171	7	with	with	ADP
bracis-28404	171	8	6	6	NUM
bracis-28404	171	9	state	state	NOUN
bracis-28404	171	10	-	-	PUNCT
bracis-28404	171	11	of	of	ADP
bracis-28404	171	12	-	-	PUNCT
bracis-28404	171	13	the	the	DET
bracis-28404	171	14	-	-	PUNCT
bracis-28404	171	15	art	art	NOUN
bracis-28404	171	16	algorithms	algorithm	NOUN
bracis-28404	171	17	.	.	PUNCT
bracis-28404	172	1	the	the	DET
bracis-28404	172	2	first	first	ADJ
bracis-28404	172	3	two	two	NUM
bracis-28404	172	4	columns	column	NOUN
bracis-28404	172	5	contain	contain	VERB
bracis-28404	172	6	the	the	DET
bracis-28404	172	7	instance	instance	NOUN
bracis-28404	172	8	identifier	identifier	NOUN
bracis-28404	172	9	(	(	PUNCT
bracis-28404	172	10	graph	graph	NOUN
bracis-28404	172	11	)	)	PUNCT
bracis-28404	172	12	and	and	CCONJ
bracis-28404	172	13	the	the	DET
bracis-28404	172	14	number	number	NOUN
bracis-28404	172	15	of	of	ADP
bracis-28404	172	16	vertices	vertex	NOUN
bracis-28404	172	17	(	(	PUNCT
bracis-28404	172	18	n	n	CCONJ
bracis-28404	172	19	)	)	PUNCT
bracis-28404	172	20	.	.	PUNCT
bracis-28404	173	1	columns	column	NOUN
bracis-28404	173	2	(	(	PUNCT
bracis-28404	173	3	ga	ga	NOUN
bracis-28404	173	4	-	-	PUNCT
bracis-28404	173	5	oc	oc	PROPN
bracis-28404	173	6	)	)	PUNCT
bracis-28404	173	7	and	and	CCONJ
bracis-28404	173	8	(	(	PUNCT
bracis-28404	173	9	ga	ga	NOUN
bracis-28404	173	10	-	-	PUNCT
bracis-28404	173	11	ts	ts	NOUN
bracis-28404	173	12	)	)	PUNCT
bracis-28404	173	13	exhibit	exhibit	VERB
bracis-28404	173	14	the	the	DET
bracis-28404	173	15	best	good	ADJ
bracis-28404	173	16	values	value	NOUN
bracis-28404	173	17	obtained	obtain	VERB
bracis-28404	173	18	by	by	ADP
bracis-28404	173	19	our	our	PRON
bracis-28404	173	20	algorithms	algorithm	NOUN
bracis-28404	173	21	and	and	CCONJ
bracis-28404	173	22	from	from	ADP
bracis-28404	173	23	the	the	DET
bracis-28404	173	24	fifth	fifth	ADJ
bracis-28404	173	25	to	to	ADP
bracis-28404	173	26	the	the	DET
bracis-28404	173	27	tenth	tenth	ADJ
bracis-28404	173	28	column	column	NOUN
bracis-28404	173	29	are	be	AUX
bracis-28404	173	30	the	the	DET
bracis-28404	173	31	best	good	ADJ
bracis-28404	173	32	results	result	NOUN
bracis-28404	173	33	found	find	VERB
bracis-28404	173	34	by	by	ADP
bracis-28404	173	35	these	these	DET
bracis-28404	173	36	reference	reference	NOUN
bracis-28404	173	37	algorithms	algorithm	NOUN
bracis-28404	173	38	.	.	PUNCT
bracis-28404	174	1	the	the	DET
bracis-28404	174	2	“	"	PUNCT
bracis-28404	174	3	-	-	PUNCT
bracis-28404	174	4	”	"	PUNCT
bracis-28404	174	5	symbol	symbol	NOUN
bracis-28404	174	6	represents	represent	VERB
bracis-28404	174	7	that	that	SCONJ
bracis-28404	174	8	no	no	DET
bracis-28404	174	9	value	value	NOUN
bracis-28404	174	10	was	be	AUX
bracis-28404	174	11	made	make	VERB
bracis-28404	174	12	available	available	ADJ
bracis-28404	174	13	for	for	ADP
bracis-28404	174	14	that	that	DET
bracis-28404	174	15	instance	instance	NOUN
bracis-28404	174	16	and	and	CCONJ
bracis-28404	174	17	values	value	NOUN
bracis-28404	174	18	in	in	ADP
bracis-28404	174	19	bold	bold	ADJ
bracis-28404	174	20	font	font	NOUN
bracis-28404	174	21	are	be	AUX
bracis-28404	174	22	the	the	DET
bracis-28404	174	23	actual	actual	ADJ
bracis-28404	174	24	best	well	ADV
bracis-28404	174	25	-	-	PUNCT
bracis-28404	174	26	known	know	VERB
bracis-28404	174	27	results	result	NOUN
bracis-28404	174	28	.	.	PUNCT
bracis-28404	175	1	table	table	NOUN
bracis-28404	175	2	 	 	SPACE
bracis-28404	175	3	2	2	NUM
bracis-28404	175	4	show	show	VERB
bracis-28404	175	5	the	the	DET
bracis-28404	175	6	summary	summary	NOUN
bracis-28404	175	7	of	of	ADP
bracis-28404	175	8	the	the	DET
bracis-28404	175	9	comparison	comparison	NOUN
bracis-28404	175	10	with	with	ADP
bracis-28404	175	11	the	the	DET
bracis-28404	175	12	best	good	ADJ
bracis-28404	175	13	result	result	NOUN
bracis-28404	175	14	of	of	ADP
bracis-28404	175	15	our	our	PRON
bracis-28404	175	16	algorithms	algorithm	NOUN
bracis-28404	175	17	.	.	PUNCT
bracis-28404	176	1	the	the	DET
bracis-28404	176	2	rows	row	NOUN
bracis-28404	176	3	2	2	NUM
bracis-28404	176	4	,	,	PUNCT
bracis-28404	176	5	3	3	NUM
bracis-28404	176	6	,	,	PUNCT
bracis-28404	176	7	4	4	NUM
bracis-28404	176	8	for	for	ADP
bracis-28404	176	9	ga	ga	NOUN
bracis-28404	176	10	-	-	PUNCT
bracis-28404	176	11	oc	oc	NOUN
bracis-28404	176	12	in	in	ADP
bracis-28404	176	13	table	table	NOUN
bracis-28404	176	14	 	 	SPACE
bracis-28404	176	15	2	2	NUM
bracis-28404	176	16	respectively	respectively	ADV
bracis-28404	176	17	denote	denote	VERB
bracis-28404	176	18	:	:	PUNCT
bracis-28404	176	19	the	the	DET
bracis-28404	176	20	number	number	NOUN
bracis-28404	176	21	of	of	ADP
bracis-28404	176	22	instances	instance	NOUN
bracis-28404	176	23	in	in	ADP
bracis-28404	176	24	which	which	PRON
bracis-28404	176	25	our	our	PRON
bracis-28404	176	26	algorithms	algorithm	NOUN
bracis-28404	176	27	obtain	obtain	VERB
bracis-28404	176	28	better	well	ADJ
bracis-28404	176	29	,	,	PUNCT
bracis-28404	176	30	equal	equal	ADJ
bracis-28404	176	31	,	,	PUNCT
bracis-28404	176	32	and	and	CCONJ
bracis-28404	176	33	worse	bad	ADJ
bracis-28404	176	34	cut	cut	VERB
bracis-28404	176	35	values	value	NOUN
bracis-28404	176	36	when	when	SCONJ
bracis-28404	176	37	compared	compare	VERB
bracis-28404	176	38	to	to	ADP
bracis-28404	176	39	the	the	DET
bracis-28404	176	40	corresponding	corresponding	ADJ
bracis-28404	176	41	reference	reference	NOUN
bracis-28404	176	42	algorithm	algorithm	NOUN
bracis-28404	176	43	.	.	PUNCT
bracis-28404	177	1	from	from	ADP
bracis-28404	177	2	table	table	NOUN
bracis-28404	177	3	 	 	SPACE
bracis-28404	177	4	2	2	NUM
bracis-28404	177	5	,	,	PUNCT
bracis-28404	177	6	we	we	PRON
bracis-28404	177	7	observe	observe	VERB
bracis-28404	177	8	that	that	SCONJ
bracis-28404	177	9	the	the	DET
bracis-28404	177	10	ga	ga	PROPN
bracis-28404	177	11	-	-	PUNCT
bracis-28404	177	12	oc	oc	NOUN
bracis-28404	177	13	algorithm	algorithm	NOUN
bracis-28404	177	14	outperforms	outperform	VERB
bracis-28404	177	15	5	5	NUM
bracis-28404	177	16	out	out	ADP
bracis-28404	177	17	of	of	ADP
bracis-28404	177	18	6	6	NUM
bracis-28404	177	19	reference	reference	NOUN
bracis-28404	177	20	algorithms	algorithm	NOUN
bracis-28404	177	21	in	in	ADP
bracis-28404	177	22	terms	term	NOUN
bracis-28404	177	23	of	of	ADP
bracis-28404	177	24	the	the	DET
bracis-28404	177	25	number	number	NOUN
bracis-28404	177	26	of	of	ADP
bracis-28404	177	27	wins	win	NOUN
bracis-28404	177	28	,	,	PUNCT
bracis-28404	177	29	i.e.	i.e.	X
bracis-28404	177	30	,	,	PUNCT
bracis-28404	177	31	the	the	DET
bracis-28404	177	32	number	number	NOUN
bracis-28404	177	33	of	of	ADP
bracis-28404	177	34	instances	instance	NOUN
bracis-28404	177	35	in	in	ADP
bracis-28404	177	36	which	which	PRON
bracis-28404	177	37	each	each	DET
bracis-28404	177	38	algorithm	algorithm	NOUN
bracis-28404	177	39	achieved	achieve	VERB
bracis-28404	177	40	the	the	DET
bracis-28404	177	41	best	good	ADJ
bracis-28404	177	42	cut	cut	NOUN
bracis-28404	177	43	value	value	NOUN
bracis-28404	177	44	.	.	PUNCT
bracis-28404	178	1	compared	compare	VERB
bracis-28404	178	2	to	to	ADP
bracis-28404	178	3	the	the	DET
bracis-28404	178	4	sils	sil	NOUN
bracis-28404	178	5	method	method	NOUN
bracis-28404	178	6	,	,	PUNCT
bracis-28404	178	7	ga	ga	PROPN
bracis-28404	178	8	-	-	PUNCT
bracis-28404	178	9	oc	oc	PROPN
bracis-28404	178	10	won	win	VERB
bracis-28404	178	11	in	in	ADP
bracis-28404	178	12	instances	instance	NOUN
bracis-28404	178	13	g37	g37	NOUN
bracis-28404	178	14	and	and	CCONJ
bracis-28404	178	15	g51	g51	ADJ
bracis-28404	178	16	,	,	PUNCT
bracis-28404	178	17	with	with	ADP
bracis-28404	178	18	g51	g51	ADJ
bracis-28404	178	19	being	be	AUX
bracis-28404	178	20	the	the	DET
bracis-28404	178	21	instance	instance	NOUN
bracis-28404	178	22	where	where	SCONJ
bracis-28404	178	23	it	it	PRON
bracis-28404	178	24	was	be	AUX
bracis-28404	178	25	able	able	ADJ
bracis-28404	178	26	to	to	PART
bracis-28404	178	27	improve	improve	VERB
bracis-28404	178	28	the	the	DET
bracis-28404	178	29	state	state	NOUN
bracis-28404	178	30	-	-	PUNCT
bracis-28404	178	31	of	of	ADP
bracis-28404	178	32	-	-	PUNCT
bracis-28404	178	33	the	the	DET
bracis-28404	178	34	-	-	PUNCT
bracis-28404	178	35	art	art	NOUN
bracis-28404	178	36	and	and	CCONJ
bracis-28404	178	37	achieved	achieve	VERB
bracis-28404	178	38	the	the	DET
bracis-28404	178	39	same	same	ADJ
bracis-28404	178	40	results	result	NOUN
bracis-28404	178	41	in	in	ADP
bracis-28404	178	42	32	32	NUM
bracis-28404	178	43	other	other	ADJ
bracis-28404	178	44	instances	instance	NOUN
bracis-28404	178	45	.	.	PUNCT
bracis-28404	179	1	to	to	ADP
bracis-28404	179	2	the	the	DET
bracis-28404	179	3	20	20	NUM
bracis-28404	179	4	remaining	remain	VERB
bracis-28404	179	5	instances	instance	NOUN
bracis-28404	179	6	,	,	PUNCT
bracis-28404	179	7	the	the	DET
bracis-28404	179	8	\(gap	\(gap	PROPN
bracis-28404	179	9	=	=	PUNCT
bracis-28404	179	10	\frac{sta	\frac{sta	NOUN
bracis-28404	179	11	-	-	PUNCT
bracis-28404	179	12	oa}{sta	oa}{sta	NOUN
bracis-28404	179	13	}	}	PUNCT
bracis-28404	179	14	\times	\time	NOUN
bracis-28404	179	15	100\	100\	NUM
bracis-28404	179	16	)	)	PUNCT
bracis-28404	179	17	,	,	PUNCT
bracis-28404	179	18	between	between	ADP
bracis-28404	179	19	the	the	DET
bracis-28404	179	20	best	good	ADJ
bracis-28404	179	21	of	of	ADP
bracis-28404	179	22	our	our	PRON
bracis-28404	179	23	algorithms	algorithm	NOUN
bracis-28404	179	24	(	(	PUNCT
bracis-28404	179	25	oa	oa	INTJ
bracis-28404	179	26	)	)	PUNCT
bracis-28404	179	27	and	and	CCONJ
bracis-28404	179	28	the	the	DET
bracis-28404	179	29	state	state	NOUN
bracis-28404	179	30	-	-	PUNCT
bracis-28404	179	31	of	of	ADP
bracis-28404	179	32	-	-	PUNCT
bracis-28404	179	33	the	the	DET
bracis-28404	179	34	-	-	PUNCT
bracis-28404	179	35	art	art	NOUN
bracis-28404	179	36	(	(	PUNCT
bracis-28404	179	37	sta	sta	NOUN
bracis-28404	179	38	)	)	PUNCT
bracis-28404	179	39	is	be	AUX
bracis-28404	179	40	less	less	ADJ
bracis-28404	179	41	than	than	ADP
bracis-28404	179	42	\(1\%\	\(1\%\	ADJ
bracis-28404	179	43	)	)	PUNCT
bracis-28404	179	44	,	,	PUNCT
bracis-28404	179	45	more	more	ADV
bracis-28404	179	46	specifically	specifically	ADV
bracis-28404	179	47	the	the	DET
bracis-28404	179	48	gap	gap	NOUN
bracis-28404	179	49	of	of	ADP
bracis-28404	179	50	one	one	NUM
bracis-28404	179	51	instance	instance	NOUN
bracis-28404	179	52	is	be	AUX
bracis-28404	179	53	\(1\%\	\(1\%\	NOUN
bracis-28404	179	54	)	)	PUNCT
bracis-28404	179	55	while	while	SCONJ
bracis-28404	179	56	for	for	SCONJ
bracis-28404	179	57	the	the	DET
bracis-28404	179	58	other	other	ADJ
bracis-28404	179	59	19	19	NUM
bracis-28404	179	60	this	this	DET
bracis-28404	179	61	value	value	NOUN
bracis-28404	179	62	is	be	AUX
bracis-28404	179	63	less	less	ADJ
bracis-28404	179	64	than	than	ADP
bracis-28404	179	65	\(0.3\%\	\(0.3\%\	NOUN
bracis-28404	179	66	)	)	PUNCT
bracis-28404	179	67	.	.	PUNCT
bracis-28404	180	1	on	on	ADP
bracis-28404	180	2	the	the	DET
bracis-28404	180	3	other	other	ADJ
bracis-28404	180	4	hand	hand	NOUN
bracis-28404	180	5	,	,	PUNCT
bracis-28404	180	6	the	the	DET
bracis-28404	180	7	ga	ga	PROPN
bracis-28404	180	8	-	-	PUNCT
bracis-28404	180	9	ts	ts	NOUN
bracis-28404	180	10	algorithm	algorithm	NOUN
bracis-28404	180	11	outperforms	outperform	VERB
bracis-28404	180	12	3	3	NUM
bracis-28404	180	13	out	out	ADP
bracis-28404	180	14	of	of	ADP
bracis-28404	180	15	6	6	NUM
bracis-28404	180	16	reference	reference	NOUN
bracis-28404	180	17	algorithms	algorithm	NOUN
bracis-28404	180	18	.	.	PUNCT
bracis-28404	181	1	these	these	DET
bracis-28404	181	2	results	result	NOUN
bracis-28404	181	3	confirm	confirm	VERB
bracis-28404	181	4	the	the	DET
bracis-28404	181	5	effectiveness	effectiveness	NOUN
bracis-28404	181	6	of	of	ADP
bracis-28404	181	7	our	our	PRON
bracis-28404	181	8	genetic	genetic	ADJ
bracis-28404	181	9	algorithms	algorithm	NOUN
bracis-28404	181	10	that	that	PRON
bracis-28404	181	11	use	use	VERB
bracis-28404	181	12	our	our	PRON
bracis-28404	181	13	set	set	NOUN
bracis-28404	181	14	of	of	ADP
bracis-28404	181	15	optimality	optimality	NOUN
bracis-28404	181	16	cuts	cut	NOUN
bracis-28404	181	17	to	to	PART
bracis-28404	181	18	deliver	deliver	VERB
bracis-28404	181	19	high	high	ADJ
bracis-28404	181	20	-	-	PUNCT
bracis-28404	181	21	quality	quality	NOUN
bracis-28404	181	22	solutions	solution	NOUN
bracis-28404	181	23	for	for	ADP
bracis-28404	181	24	the	the	DET
bracis-28404	181	25	54	54	NUM
bracis-28404	181	26	instances	instance	NOUN
bracis-28404	181	27	belonging	belong	VERB
bracis-28404	181	28	to	to	ADP
bracis-28404	181	29	g	g	PROPN
bracis-28404	181	30	set	set	VERB
bracis-28404	181	31	.	.	PUNCT
bracis-28404	182	1	table	table	NOUN
bracis-28404	182	2	1	1	NUM
bracis-28404	182	3	.	.	PUNCT
bracis-28404	183	1	the	the	DET
bracis-28404	183	2	difference	difference	NOUN
bracis-28404	183	3	between	between	ADP
bracis-28404	183	4	nioc	nioc	NOUN
bracis-28404	183	5	,	,	PUNCT
bracis-28404	183	6	rci	rci	PROPN
bracis-28404	183	7	and	and	CCONJ
bracis-28404	183	8	rci	rci	PROPN
bracis-28404	183	9	-	-	PUNCT
bracis-28404	183	10	lofull	lofull	NOUN
bracis-28404	183	11	size	size	NOUN
bracis-28404	183	12	table	table	NOUN
bracis-28404	183	13	table	table	NOUN
bracis-28404	183	14	2	2	NUM
bracis-28404	183	15	.	.	PUNCT
bracis-28404	183	16	comparison	comparison	NOUN
bracis-28404	183	17	of	of	ADP
bracis-28404	183	18	ga	ga	PROPN
bracis-28404	183	19	-	-	PUNCT
bracis-28404	183	20	oc	oc	PROPN
bracis-28404	183	21	and	and	CCONJ
bracis-28404	183	22	ga	ga	PROPN
bracis-28404	183	23	-	-	PUNCT
bracis-28404	183	24	ts	ts	NOUN
bracis-28404	183	25	with	with	ADP
bracis-28404	183	26	the	the	DET
bracis-28404	183	27	six	six	NUM
bracis-28404	183	28	algorithms	algorithm	NOUN
bracis-28404	183	29	from	from	ADP
bracis-28404	183	30	the	the	DET
bracis-28404	183	31	literaturefull	literaturefull	ADJ
bracis-28404	183	32	size	size	NOUN
bracis-28404	183	33	table	table	NOUN
bracis-28404	183	34	table	table	NOUN
bracis-28404	183	35	3	3	NUM
bracis-28404	183	36	.	.	PUNCT
bracis-28404	183	37	comparison	comparison	NOUN
bracis-28404	183	38	of	of	ADP
bracis-28404	183	39	algorithms	algorithms	PROPN
bracis-28404	183	40	ga	ga	PROPN
bracis-28404	183	41	-	-	PUNCT
bracis-28404	183	42	oc	oc	PROPN
bracis-28404	183	43	,	,	PUNCT
bracis-28404	183	44	ga	ga	NOUN
bracis-28404	183	45	-	-	PUNCT
bracis-28404	183	46	ts	ts	NOUN
bracis-28404	183	47	and	and	CCONJ
bracis-28404	183	48	gafull	gafull	NOUN
bracis-28404	183	49	size	size	NOUN
bracis-28404	183	50	table	table	NOUN
bracis-28404	183	51	table	table	NOUN
bracis-28404	183	52	4	4	NUM
bracis-28404	183	53	.	.	PUNCT
bracis-28404	183	54	best	good	ADJ
bracis-28404	183	55	results	result	NOUN
bracis-28404	183	56	obtained	obtain	VERB
bracis-28404	183	57	by	by	ADP
bracis-28404	183	58	ga	ga	PROPN
bracis-28404	183	59	-	-	PUNCT
bracis-28404	183	60	oc	oc	PROPN
bracis-28404	183	61	,	,	PUNCT
bracis-28404	183	62	ga	ga	PROPN
bracis-28404	183	63	-	-	PUNCT
bracis-28404	183	64	ts	ts	NOUN
bracis-28404	183	65	and	and	CCONJ
bracis-28404	183	66	the	the	DET
bracis-28404	183	67	current	current	ADJ
bracis-28404	183	68	state	state	NOUN
bracis-28404	183	69	-	-	PUNCT
bracis-28404	183	70	of	of	ADP
bracis-28404	183	71	-	-	PUNCT
bracis-28404	183	72	the	the	DET
bracis-28404	183	73	-	-	PUNCT
bracis-28404	183	74	artfull	artfull	NOUN
bracis-28404	183	75	size	size	NOUN
bracis-28404	183	76	table	table	NOUN
bracis-28404	183	77	5	5	NUM
bracis-28404	183	78	conclusion	conclusion	NOUN
bracis-28404	183	79	this	this	DET
bracis-28404	183	80	work	work	NOUN
bracis-28404	183	81	presents	present	VERB
bracis-28404	183	82	a	a	DET
bracis-28404	183	83	new	new	ADJ
bracis-28404	183	84	set	set	NOUN
bracis-28404	183	85	of	of	ADP
bracis-28404	183	86	optimality	optimality	NOUN
bracis-28404	183	87	cuts	cut	NOUN
bracis-28404	183	88	and	and	CCONJ
bracis-28404	183	89	two	two	NUM
bracis-28404	183	90	heuristics	heuristic	NOUN
bracis-28404	183	91	based	base	VERB
bracis-28404	183	92	on	on	ADP
bracis-28404	183	93	genetic	genetic	ADJ
bracis-28404	183	94	algorithms	algorithm	NOUN
bracis-28404	183	95	that	that	PRON
bracis-28404	183	96	use	use	VERB
bracis-28404	183	97	these	these	DET
bracis-28404	183	98	inequalities	inequality	NOUN
bracis-28404	183	99	in	in	ADP
bracis-28404	183	100	their	their	PRON
bracis-28404	183	101	composition	composition	NOUN
bracis-28404	183	102	.	.	PUNCT
bracis-28404	184	1	besides	besides	SCONJ
bracis-28404	184	2	the	the	DET
bracis-28404	184	3	proposal	proposal	NOUN
bracis-28404	184	4	to	to	PART
bracis-28404	184	5	present	present	VERB
bracis-28404	184	6	an	an	DET
bracis-28404	184	7	approach	approach	NOUN
bracis-28404	184	8	to	to	PART
bracis-28404	184	9	improve	improve	VERB
bracis-28404	184	10	the	the	DET
bracis-28404	184	11	efficiency	efficiency	NOUN
bracis-28404	184	12	of	of	ADP
bracis-28404	184	13	these	these	DET
bracis-28404	184	14	heuristics	heuristic	NOUN
bracis-28404	184	15	,	,	PUNCT
bracis-28404	184	16	as	as	ADV
bracis-28404	184	17	far	far	ADV
bracis-28404	184	18	as	as	SCONJ
bracis-28404	184	19	is	be	AUX
bracis-28404	184	20	known	know	VERB
bracis-28404	184	21	nothing	nothing	PRON
bracis-28404	184	22	of	of	ADP
bracis-28404	184	23	the	the	DET
bracis-28404	184	24	kind	kind	NOUN
bracis-28404	184	25	was	be	AUX
bracis-28404	184	26	reported	report	VERB
bracis-28404	184	27	to	to	ADP
bracis-28404	184	28	max	max	PROPN
bracis-28404	184	29	-	-	PUNCT
bracis-28404	184	30	cut	cut	VERB
bracis-28404	184	31	problem	problem	NOUN
bracis-28404	184	32	.	.	PUNCT
bracis-28404	185	1	analysis	analysis	NOUN
bracis-28404	185	2	using	use	VERB
bracis-28404	185	3	the	the	DET
bracis-28404	185	4	benchmark	benchmark	NOUN
bracis-28404	185	5	set	set	NOUN
bracis-28404	185	6	g	g	PROPN
bracis-28404	185	7	considered	consider	VERB
bracis-28404	185	8	the	the	DET
bracis-28404	185	9	best	good	ADJ
bracis-28404	185	10	cut	cut	VERB
bracis-28404	185	11	value	value	NOUN
bracis-28404	185	12	obtained	obtain	VERB
bracis-28404	185	13	by	by	ADP
bracis-28404	185	14	our	our	PRON
bracis-28404	185	15	heuristics	heuristic	NOUN
bracis-28404	185	16	in	in	ADP
bracis-28404	185	17	each	each	DET
bracis-28404	185	18	instance	instance	NOUN
bracis-28404	185	19	and	and	CCONJ
bracis-28404	185	20	we	we	PRON
bracis-28404	185	21	were	be	AUX
bracis-28404	185	22	able	able	ADJ
bracis-28404	185	23	to	to	PART
bracis-28404	185	24	improve	improve	VERB
bracis-28404	185	25	the	the	DET
bracis-28404	185	26	best	well	ADV
bracis-28404	185	27	-	-	PUNCT
bracis-28404	185	28	known	know	VERB
bracis-28404	185	29	value	value	NOUN
bracis-28404	185	30	for	for	ADP
bracis-28404	185	31	the	the	DET
bracis-28404	185	32	instance	instance	NOUN
bracis-28404	185	33	g51	g51	ADJ
bracis-28404	185	34	and	and	CCONJ
bracis-28404	185	35	be	be	AUX
bracis-28404	185	36	strongly	strongly	ADV
bracis-28404	185	37	competitive	competitive	ADJ
bracis-28404	185	38	with	with	ADP
bracis-28404	185	39	current	current	ADJ
bracis-28404	185	40	state	state	NOUN
bracis-28404	185	41	of	of	ADP
bracis-28404	185	42	the	the	DET
bracis-28404	185	43	art	art	NOUN
bracis-28404	185	44	algorithms	algorithm	NOUN
bracis-28404	185	45	,	,	PUNCT
bracis-28404	185	46	presenting	present	VERB
bracis-28404	185	47	results	result	NOUN
bracis-28404	185	48	with	with	ADP
bracis-28404	185	49	a	a	DET
bracis-28404	185	50	maximum	maximum	NOUN
bracis-28404	185	51	of	of	ADP
bracis-28404	185	52	\(1\%\	\(1\%\	NOUN
bracis-28404	185	53	)	)	PUNCT
bracis-28404	185	54	gap	gap	NOUN
bracis-28404	185	55	of	of	ADP
bracis-28404	185	56	the	the	DET
bracis-28404	185	57	best	well	ADV
bracis-28404	185	58	-	-	PUNCT
bracis-28404	185	59	known	know	VERB
bracis-28404	185	60	values	value	NOUN
bracis-28404	185	61	for	for	ADP
bracis-28404	185	62	all	all	DET
bracis-28404	185	63	instances	instance	NOUN
bracis-28404	185	64	.	.	PUNCT
bracis-28404	186	1	although	although	SCONJ
bracis-28404	186	2	the	the	DET
bracis-28404	186	3	experiments	experiment	NOUN
bracis-28404	186	4	consider	consider	VERB
bracis-28404	186	5	a	a	DET
bracis-28404	186	6	limited	limited	ADJ
bracis-28404	186	7	execution	execution	NOUN
bracis-28404	186	8	time	time	NOUN
bracis-28404	186	9	,	,	PUNCT
bracis-28404	186	10	increasing	increase	VERB
bracis-28404	186	11	it	it	PRON
bracis-28404	186	12	would	would	AUX
bracis-28404	186	13	not	not	PART
bracis-28404	186	14	have	have	VERB
bracis-28404	186	15	a	a	DET
bracis-28404	186	16	significant	significant	ADJ
bracis-28404	186	17	impact	impact	NOUN
bracis-28404	186	18	on	on	ADP
bracis-28404	186	19	the	the	DET
bracis-28404	186	20	results	result	NOUN
bracis-28404	186	21	provided	provide	VERB
bracis-28404	186	22	by	by	ADP
bracis-28404	186	23	our	our	PRON
bracis-28404	186	24	algorithms	algorithm	NOUN
bracis-28404	186	25	.	.	PUNCT
bracis-28404	187	1	thus	thus	ADV
bracis-28404	187	2	,	,	PUNCT
bracis-28404	187	3	it	it	PRON
bracis-28404	187	4	is	be	AUX
bracis-28404	187	5	possible	possible	ADJ
bracis-28404	187	6	to	to	PART
bracis-28404	187	7	conclude	conclude	VERB
bracis-28404	187	8	that	that	SCONJ
bracis-28404	187	9	the	the	DET
bracis-28404	187	10	use	use	NOUN
bracis-28404	187	11	of	of	ADP
bracis-28404	187	12	the	the	DET
bracis-28404	187	13	proposed	propose	VERB
bracis-28404	187	14	optimality	optimality	NOUN
bracis-28404	187	15	cuts	cut	NOUN
bracis-28404	187	16	in	in	ADP
bracis-28404	187	17	ga	ga	PROPN
bracis-28404	187	18	and	and	CCONJ
bracis-28404	187	19	ts	ts	ADP
bracis-28404	187	20	results	result	NOUN
bracis-28404	187	21	in	in	ADP
bracis-28404	187	22	a	a	DET
bracis-28404	187	23	good	good	ADJ
bracis-28404	187	24	improvement	improvement	NOUN
bracis-28404	187	25	to	to	PART
bracis-28404	187	26	obtain	obtain	VERB
bracis-28404	187	27	solutions	solution	NOUN
bracis-28404	187	28	to	to	ADP
bracis-28404	187	29	the	the	DET
bracis-28404	187	30	max	max	PROPN
bracis-28404	187	31	-	-	PUNCT
bracis-28404	187	32	cut	cut	VERB
bracis-28404	187	33	problem	problem	NOUN
bracis-28404	187	34	.	.	PUNCT
bracis-28404	188	1	for	for	ADP
bracis-28404	188	2	future	future	ADJ
bracis-28404	188	3	work	work	NOUN
bracis-28404	188	4	,	,	PUNCT
bracis-28404	188	5	we	we	PRON
bracis-28404	188	6	hope	hope	VERB
bracis-28404	188	7	to	to	PART
bracis-28404	188	8	find	find	VERB
bracis-28404	188	9	new	new	ADJ
bracis-28404	188	10	ways	way	NOUN
bracis-28404	188	11	to	to	PART
bracis-28404	188	12	explore	explore	VERB
bracis-28404	188	13	the	the	DET
bracis-28404	188	14	optimality	optimality	NOUN
bracis-28404	188	15	cuts	cut	NOUN
bracis-28404	188	16	presented	present	VERB
bracis-28404	188	17	and	and	CCONJ
bracis-28404	188	18	apply	apply	VERB
bracis-28404	188	19	them	they	PRON
bracis-28404	188	20	to	to	ADP
bracis-28404	188	21	different	different	ADJ
bracis-28404	188	22	heuristics	heuristic	NOUN
bracis-28404	188	23	and	and	CCONJ
bracis-28404	188	24	meta	meta	NOUN
bracis-28404	188	25	-	-	PUNCT
bracis-28404	188	26	heuristics	heuristic	NOUN
bracis-28404	188	27	,	,	PUNCT
bracis-28404	188	28	such	such	ADJ
bracis-28404	188	29	as	as	ADP
bracis-28404	188	30	simulated	simulated	ADJ
bracis-28404	188	31	annealing	annealing	NOUN
bracis-28404	188	32	(	(	PUNCT
bracis-28404	188	33	sa	sa	NOUN
bracis-28404	188	34	)	)	PUNCT
bracis-28404	188	35	and	and	CCONJ
bracis-28404	188	36	scatter	scatter	NOUN
bracis-28404	188	37	search	search	NOUN
bracis-28404	188	38	(	(	PUNCT
bracis-28404	188	39	ss	ss	NOUN
bracis-28404	188	40	)	)	PUNCT
bracis-28404	188	41	.	.	PUNCT
bracis-28404	189	1	it	it	PRON
bracis-28404	189	2	is	be	AUX
bracis-28404	189	3	possible	possible	ADJ
bracis-28404	189	4	to	to	PART
bracis-28404	189	5	use	use	VERB
bracis-28404	189	6	these	these	DET
bracis-28404	189	7	optimality	optimality	NOUN
bracis-28404	189	8	cuts	cut	NOUN
bracis-28404	189	9	in	in	ADP
bracis-28404	189	10	math	math	NOUN
bracis-28404	189	11	-	-	PUNCT
bracis-28404	189	12	heuristics	heuristic	NOUN
bracis-28404	189	13	,	,	PUNCT
bracis-28404	189	14	that	that	PRON
bracis-28404	189	15	are	be	AUX
bracis-28404	189	16	approaches	approach	NOUN
bracis-28404	189	17	which	which	PRON
bracis-28404	189	18	use	use	VERB
bracis-28404	189	19	mathematical	mathematical	ADJ
bracis-28404	189	20	models	model	NOUN
bracis-28404	189	21	and	and	CCONJ
bracis-28404	189	22	heuristics	heuristic	NOUN
bracis-28404	189	23	.	.	PUNCT
bracis-28404	190	1	also	also	ADV
bracis-28404	190	2	,	,	PUNCT
bracis-28404	190	3	improvements	improvement	NOUN
bracis-28404	190	4	can	can	AUX
bracis-28404	190	5	be	be	AUX
bracis-28404	190	6	sought	seek	VERB
bracis-28404	190	7	in	in	ADP
bracis-28404	190	8	the	the	DET
bracis-28404	190	9	cuts	cut	NOUN
bracis-28404	190	10	,	,	PUNCT
bracis-28404	190	11	searching	search	VERB
bracis-28404	190	12	for	for	ADP
bracis-28404	190	13	more	more	ADV
bracis-28404	190	14	efficient	efficient	ADJ
bracis-28404	190	15	and	and	CCONJ
bracis-28404	190	16	quick	quick	ADJ
bracis-28404	190	17	ways	way	NOUN
bracis-28404	190	18	to	to	PART
bracis-28404	190	19	apply	apply	VERB
bracis-28404	190	20	them	they	PRON
bracis-28404	190	21	.	.	PUNCT
bracis-28404	191	1	references	reference	NOUN
bracis-28404	191	2	agrawal	agrawal	PROPN
bracis-28404	191	3	,	,	PUNCT
bracis-28404	191	4	r.	r.	PROPN
bracis-28404	191	5	,	,	PUNCT
bracis-28404	191	6	rajagopalan	rajagopalan	PROPN
bracis-28404	191	7	,	,	PUNCT
bracis-28404	191	8	s.	s.	PROPN
bracis-28404	191	9	,	,	PUNCT
bracis-28404	191	10	srikant	srikant	PROPN
bracis-28404	191	11	,	,	PUNCT
bracis-28404	191	12	r.	r.	PROPN
bracis-28404	191	13	,	,	PUNCT
bracis-28404	191	14	xu	xu	PROPN
bracis-28404	191	15	,	,	PUNCT
bracis-28404	191	16	y.	y.	NOUN
bracis-28404	191	17	:	:	PUNCT
bracis-28404	191	18	mining	mining	NOUN
bracis-28404	191	19	newsgroups	newsgroup	NOUN
bracis-28404	191	20	using	use	VERB
bracis-28404	191	21	networks	network	NOUN
bracis-28404	191	22	arising	arise	VERB
bracis-28404	191	23	from	from	ADP
bracis-28404	191	24	social	social	ADJ
bracis-28404	191	25	behavior	behavior	NOUN
bracis-28404	191	26	.	.	PUNCT
bracis-28404	192	1	in	in	ADP
bracis-28404	192	2	:	:	PUNCT
bracis-28404	192	3	proceedings	proceeding	NOUN
bracis-28404	192	4	of	of	ADP
bracis-28404	192	5	the	the	DET
bracis-28404	192	6	12th	12th	ADJ
bracis-28404	192	7	international	international	ADJ
bracis-28404	192	8	conference	conference	NOUN
bracis-28404	192	9	on	on	ADP
bracis-28404	192	10	world	world	NOUN
bracis-28404	192	11	wide	wide	ADJ
bracis-28404	192	12	web	web	NOUN
bracis-28404	192	13	,	,	PUNCT
bracis-28404	192	14	pp	pp	ADJ
bracis-28404	192	15	.	.	PUNCT
bracis-28404	193	1	529–535	529–535	NUM
bracis-28404	193	2	(	(	PUNCT
bracis-28404	193	3	2003	2003	NUM
bracis-28404	193	4	)	)	PUNCT
bracis-28404	193	5	google	google	PROPN
bracis-28404	193	6	scholar	scholar	NOUN
bracis-28404	193	7	  	  	SPACE
bracis-28404	193	8	alidaee	alidaee	NOUN
bracis-28404	193	9	,	,	PUNCT
bracis-28404	193	10	b.	b.	PROPN
bracis-28404	193	11	,	,	PUNCT
bracis-28404	193	12	sloan	sloan	PROPN
bracis-28404	193	13	,	,	PUNCT
bracis-28404	193	14	h.	h.	PROPN
bracis-28404	193	15	,	,	PUNCT
bracis-28404	193	16	wang	wang	PROPN
bracis-28404	193	17	,	,	PUNCT
bracis-28404	193	18	h.	h.	PROPN
bracis-28404	193	19	:	:	PUNCT
bracis-28404	193	20	simple	simple	ADJ
bracis-28404	193	21	and	and	CCONJ
bracis-28404	193	22	fast	fast	ADJ
bracis-28404	193	23	novel	novel	NOUN
bracis-28404	193	24	diversification	diversification	NOUN
bracis-28404	193	25	approach	approach	NOUN
bracis-28404	193	26	for	for	ADP
bracis-28404	193	27	the	the	DET
bracis-28404	193	28	ubqp	ubqp	NOUN
bracis-28404	193	29	based	base	VERB
bracis-28404	193	30	on	on	ADP
bracis-28404	193	31	sequential	sequential	ADJ
bracis-28404	193	32	improvement	improvement	NOUN
bracis-28404	193	33	local	local	ADJ
bracis-28404	193	34	search	search	NOUN
bracis-28404	193	35	.	.	PUNCT
bracis-28404	194	1	comput	comput	NOUN
bracis-28404	194	2	.	.	PUNCT
bracis-28404	195	1	ind	ind	PROPN
bracis-28404	195	2	.	.	PUNCT
bracis-28404	196	1	eng	eng	PROPN
bracis-28404	196	2	.	.	PROPN
bracis-28404	196	3	111	111	NUM
bracis-28404	196	4	,	,	PUNCT
bracis-28404	196	5	164–175	164–175	NUM
bracis-28404	196	6	(	(	PUNCT
bracis-28404	196	7	2017	2017	NUM
bracis-28404	196	8	)	)	PUNCT
bracis-28404	196	9	article	article	NOUN
bracis-28404	196	10	  	  	SPACE
bracis-28404	196	11	google	google	PROPN
bracis-28404	196	12	scholar	scholar	NOUN
bracis-28404	196	13	  	  	SPACE
bracis-28404	196	14	barahona	barahona	NOUN
bracis-28404	196	15	,	,	PUNCT
bracis-28404	196	16	f.	f.	PROPN
bracis-28404	196	17	:	:	PUNCT
bracis-28404	196	18	the	the	DET
bracis-28404	196	19	max	max	PROPN
bracis-28404	196	20	-	-	PUNCT
bracis-28404	196	21	cut	cut	VERB
bracis-28404	196	22	problem	problem	NOUN
bracis-28404	196	23	on	on	ADP
bracis-28404	196	24	graphs	graph	NOUN
bracis-28404	196	25	not	not	PART
bracis-28404	196	26	contractible	contractible	ADJ
bracis-28404	196	27	to	to	ADP
bracis-28404	196	28	k5	k5	PROPN
bracis-28404	196	29	.	.	PUNCT
bracis-28404	197	1	oper	oper	PROPN
bracis-28404	197	2	.	.	PUNCT
bracis-28404	198	1	res	res	PROPN
bracis-28404	198	2	.	.	PUNCT
bracis-28404	199	1	lett	lett	PROPN
bracis-28404	199	2	.	.	PUNCT
bracis-28404	200	1	2(3	2(3	NUM
bracis-28404	200	2	)	)	PUNCT
bracis-28404	200	3	,	,	PUNCT
bracis-28404	200	4	107–111	107–111	NUM
bracis-28404	200	5	(	(	PUNCT
bracis-28404	200	6	1983	1983	NUM
bracis-28404	200	7	)	)	PUNCT
bracis-28404	200	8	article	article	NOUN
bracis-28404	200	9	  	  	SPACE
bracis-28404	200	10	mathscinet	mathscinet	NOUN
bracis-28404	200	11	  	  	SPACE
bracis-28404	200	12	math	math	NOUN
bracis-28404	200	13	  	  	SPACE
bracis-28404	200	14	google	google	PROPN
bracis-28404	200	15	scholar	scholar	NOUN
bracis-28404	200	16	  	  	SPACE
bracis-28404	200	17	barahona	barahona	NOUN
bracis-28404	200	18	,	,	PUNCT
bracis-28404	200	19	f.	f.	PROPN
bracis-28404	200	20	,	,	PUNCT
bracis-28404	200	21	grötschel	grötschel	PROPN
bracis-28404	200	22	,	,	PUNCT
bracis-28404	200	23	m.	m.	NOUN
bracis-28404	200	24	,	,	PUNCT
bracis-28404	200	25	jünger	jünger	NOUN
bracis-28404	200	26	,	,	PUNCT
bracis-28404	200	27	m.	m.	NOUN
bracis-28404	200	28	,	,	PUNCT
bracis-28404	200	29	reinelt	reinelt	PROPN
bracis-28404	200	30	,	,	PUNCT
bracis-28404	200	31	g.	g.	PROPN
bracis-28404	200	32	:	:	PUNCT
bracis-28404	200	33	an	an	DET
bracis-28404	200	34	application	application	NOUN
bracis-28404	200	35	of	of	ADP
bracis-28404	200	36	combinatorial	combinatorial	ADJ
bracis-28404	200	37	optimization	optimization	NOUN
bracis-28404	200	38	to	to	ADP
bracis-28404	200	39	statistical	statistical	ADJ
bracis-28404	200	40	physics	physics	NOUN
bracis-28404	200	41	and	and	CCONJ
bracis-28404	200	42	circuit	circuit	NOUN
bracis-28404	200	43	layout	layout	PROPN
bracis-28404	200	44	design	design	NOUN
bracis-28404	200	45	.	.	PUNCT
bracis-28404	201	1	oper	oper	PROPN
bracis-28404	201	2	.	.	PUNCT
bracis-28404	202	1	res	res	PROPN
bracis-28404	202	2	.	.	PUNCT
bracis-28404	203	1	36(3	36(3	NUM
bracis-28404	203	2	)	)	PUNCT
bracis-28404	203	3	,	,	PUNCT
bracis-28404	203	4	493–513	493–513	NUM
bracis-28404	203	5	(	(	PUNCT
bracis-28404	203	6	1988	1988	NUM
bracis-28404	203	7	)	)	PUNCT
bracis-28404	203	8	article	article	NOUN
bracis-28404	203	9	  	  	SPACE
bracis-28404	203	10	math	math	NOUN
bracis-28404	203	11	  	  	SPACE
bracis-28404	203	12	google	google	PROPN
bracis-28404	203	13	scholar	scholar	NOUN
bracis-28404	203	14	  	  	SPACE
bracis-28404	203	15	bramoullé	bramoullé	NOUN
bracis-28404	203	16	,	,	PUNCT
bracis-28404	204	1	y.	y.	NOUN
bracis-28404	204	2	:	:	PUNCT
bracis-28404	204	3	anti	anti	ADJ
bracis-28404	204	4	-	-	ADJ
bracis-28404	204	5	coordination	coordination	ADJ
bracis-28404	204	6	and	and	CCONJ
bracis-28404	204	7	social	social	ADJ
bracis-28404	204	8	interactions	interaction	NOUN
bracis-28404	204	9	.	.	PUNCT
bracis-28404	205	1	games	games	PROPN
bracis-28404	205	2	econom	econom	PROPN
bracis-28404	205	3	.	.	PUNCT
bracis-28404	205	4	behav	behav	PROPN
bracis-28404	205	5	.	.	PUNCT
bracis-28404	206	1	58(1	58(1	NOUN
bracis-28404	206	2	)	)	PUNCT
bracis-28404	206	3	,	,	PUNCT
bracis-28404	206	4	30–49	30–49	NUM
bracis-28404	206	5	(	(	PUNCT
bracis-28404	206	6	2007	2007	NUM
bracis-28404	206	7	)	)	PUNCT
bracis-28404	206	8	article	article	NOUN
bracis-28404	206	9	  	  	SPACE
bracis-28404	206	10	mathscinet	mathscinet	NOUN
bracis-28404	206	11	  	  	SPACE
bracis-28404	206	12	math	math	NOUN
bracis-28404	206	13	  	  	SPACE
bracis-28404	206	14	google	google	PROPN
bracis-28404	206	15	scholar	scholar	NOUN
bracis-28404	206	16	  	  	SPACE
bracis-28404	206	17	burer	burer	X
bracis-28404	206	18	,	,	PUNCT
bracis-28404	206	19	s.	s.	PROPN
bracis-28404	206	20	,	,	PUNCT
bracis-28404	206	21	monteiro	monteiro	PROPN
bracis-28404	206	22	,	,	PUNCT
bracis-28404	206	23	r.	r.	PROPN
bracis-28404	206	24	,	,	PUNCT
bracis-28404	206	25	zhang	zhang	PROPN
bracis-28404	206	26	,	,	PUNCT
bracis-28404	206	27	y.	y.	PROPN
bracis-28404	206	28	:	:	PUNCT
bracis-28404	206	29	rank	rank	NOUN
bracis-28404	206	30	-	-	PUNCT
bracis-28404	206	31	two	two	NUM
bracis-28404	206	32	relaxation	relaxation	NOUN
bracis-28404	206	33	heuristic	heuristic	NOUN
bracis-28404	206	34	for	for	ADP
bracis-28404	206	35	max	max	PROPN
bracis-28404	206	36	-	-	PUNCT
bracis-28404	206	37	cut	cut	VERB
bracis-28404	206	38	and	and	CCONJ
bracis-28404	206	39	other	other	ADJ
bracis-28404	206	40	binary	binary	ADJ
bracis-28404	206	41	quadratic	quadratic	ADJ
bracis-28404	206	42	problems	problem	NOUN
bracis-28404	206	43	.	.	PUNCT
bracis-28404	207	1	siam	siam	PROPN
bracis-28404	207	2	j.	j.	PROPN
bracis-28404	207	3	optim	optim	PROPN
bracis-28404	207	4	.	.	PUNCT
bracis-28404	208	1	12(2	12(2	NUM
bracis-28404	208	2	)	)	PUNCT
bracis-28404	208	3	,	,	PUNCT
bracis-28404	209	1	503–521	503–521	NUM
bracis-28404	209	2	(	(	PUNCT
bracis-28404	209	3	2001/2002	2001/2002	NUM
bracis-28404	209	4	)	)	PUNCT
bracis-28404	209	5	google	google	PROPN
bracis-28404	209	6	scholar	scholar	NOUN
bracis-28404	209	7	  	  	SPACE
bracis-28404	209	8	chui	chui	PROPN
bracis-28404	209	9	,	,	PUNCT
bracis-28404	209	10	k.t	k.t	PROPN
bracis-28404	209	11	.	.	PROPN
bracis-28404	209	12	,	,	PUNCT
bracis-28404	209	13	gupta	gupta	PROPN
bracis-28404	209	14	,	,	PUNCT
bracis-28404	209	15	b.b	b.b	PROPN
bracis-28404	209	16	.	.	PROPN
bracis-28404	209	17	,	,	PUNCT
bracis-28404	209	18	vasant	vasant	PROPN
bracis-28404	209	19	,	,	PUNCT
bracis-28404	209	20	p.	p.	NOUN
bracis-28404	209	21	:	:	PUNCT
bracis-28404	209	22	a	a	DET
bracis-28404	209	23	genetic	genetic	ADJ
bracis-28404	209	24	algorithm	algorithm	NOUN
bracis-28404	209	25	optimized	optimize	VERB
bracis-28404	209	26	rnn	rnn	PROPN
bracis-28404	209	27	-	-	PUNCT
bracis-28404	209	28	lstm	lstm	PROPN
bracis-28404	209	29	model	model	NOUN
bracis-28404	209	30	for	for	ADP
bracis-28404	209	31	remaining	remain	VERB
bracis-28404	209	32	useful	useful	ADJ
bracis-28404	209	33	life	life	NOUN
bracis-28404	209	34	prediction	prediction	NOUN
bracis-28404	209	35	of	of	ADP
bracis-28404	209	36	turbofan	turbofan	NOUN
bracis-28404	209	37	engine	engine	NOUN
bracis-28404	209	38	.	.	PUNCT
bracis-28404	210	1	electronics	electronic	NOUN
bracis-28404	210	2	10(3	10(3	NUM
bracis-28404	210	3	)	)	PUNCT
bracis-28404	210	4	,	,	PUNCT
bracis-28404	210	5	285	285	NUM
bracis-28404	210	6	(	(	PUNCT
bracis-28404	210	7	2021	2021	NUM
bracis-28404	210	8	)	)	PUNCT
bracis-28404	210	9	article	article	NOUN
bracis-28404	210	10	  	  	SPACE
bracis-28404	210	11	google	google	PROPN
bracis-28404	210	12	scholar	scholar	NOUN
bracis-28404	210	13	  	  	SPACE
bracis-28404	210	14	de	de	X
bracis-28404	210	15	simone	simone	PROPN
bracis-28404	210	16	,	,	PUNCT
bracis-28404	210	17	c.	c.	PROPN
bracis-28404	210	18	,	,	PUNCT
bracis-28404	210	19	diehl	diehl	PROPN
bracis-28404	210	20	,	,	PUNCT
bracis-28404	210	21	m.	m.	NOUN
bracis-28404	210	22	,	,	PUNCT
bracis-28404	210	23	jünger	jünger	NOUN
bracis-28404	210	24	,	,	PUNCT
bracis-28404	210	25	m.	m.	NOUN
bracis-28404	210	26	,	,	PUNCT
bracis-28404	210	27	mutzel	mutzel	ADJ
bracis-28404	210	28	,	,	PUNCT
bracis-28404	210	29	p.	p.	NOUN
bracis-28404	210	30	,	,	PUNCT
bracis-28404	210	31	reinelt	reinelt	PROPN
bracis-28404	210	32	,	,	PUNCT
bracis-28404	210	33	g.	g.	PROPN
bracis-28404	210	34	,	,	PUNCT
bracis-28404	210	35	rinaldi	rinaldi	PROPN
bracis-28404	210	36	,	,	PUNCT
bracis-28404	210	37	g.	g.	PROPN
bracis-28404	210	38	:	:	PUNCT
bracis-28404	210	39	exact	exact	ADJ
bracis-28404	210	40	ground	ground	NOUN
bracis-28404	210	41	states	state	NOUN
bracis-28404	210	42	of	of	ADP
bracis-28404	210	43	ising	ise	VERB
bracis-28404	210	44	spin	spin	VERB
bracis-28404	210	45	glasses	glass	NOUN
bracis-28404	210	46	:	:	PUNCT
bracis-28404	210	47	new	new	ADJ
bracis-28404	210	48	experimental	experimental	ADJ
bracis-28404	210	49	results	result	NOUN
bracis-28404	210	50	with	with	ADP
bracis-28404	210	51	a	a	DET
bracis-28404	210	52	branch	branch	NOUN
bracis-28404	210	53	-	-	PUNCT
bracis-28404	210	54	and	and	CCONJ
bracis-28404	210	55	-	-	PUNCT
bracis-28404	210	56	cut	cut	NOUN
bracis-28404	210	57	algorithm	algorithm	NOUN
bracis-28404	210	58	.	.	PUNCT
bracis-28404	211	1	j.	j.	PROPN
bracis-28404	211	2	stat	stat	PROPN
bracis-28404	211	3	.	.	PUNCT
bracis-28404	212	1	phys	phy	NOUN
bracis-28404	212	2	.	.	PUNCT
bracis-28404	213	1	80(12	80(12	NUM
bracis-28404	213	2	)	)	PUNCT
bracis-28404	213	3	,	,	PUNCT
bracis-28404	213	4	487–496	487–496	NUM
bracis-28404	213	5	(	(	PUNCT
bracis-28404	213	6	1995	1995	NUM
bracis-28404	213	7	)	)	PUNCT
bracis-28404	213	8	article	article	NOUN
bracis-28404	213	9	  	  	SPACE
bracis-28404	213	10	math	math	NOUN
bracis-28404	213	11	  	  	SPACE
bracis-28404	213	12	google	google	PROPN
bracis-28404	213	13	scholar	scholar	NOUN
bracis-28404	213	14	  	  	SPACE
bracis-28404	213	15	de	de	X
bracis-28404	213	16	simone	simone	PROPN
bracis-28404	213	17	,	,	PUNCT
bracis-28404	213	18	c.	c.	PROPN
bracis-28404	213	19	,	,	PUNCT
bracis-28404	213	20	rinaldi	rinaldi	PROPN
bracis-28404	213	21	,	,	PUNCT
bracis-28404	213	22	g.	g.	PROPN
bracis-28404	213	23	:	:	PUNCT
bracis-28404	213	24	a	a	DET
bracis-28404	213	25	cutting	cut	VERB
bracis-28404	213	26	plane	plane	NOUN
bracis-28404	213	27	algorithm	algorithm	NOUN
bracis-28404	213	28	for	for	ADP
bracis-28404	213	29	the	the	DET
bracis-28404	213	30	max	max	PROPN
bracis-28404	213	31	-	-	PUNCT
bracis-28404	213	32	cut	cut	VERB
bracis-28404	213	33	problem	problem	NOUN
bracis-28404	213	34	.	.	PUNCT
bracis-28404	214	1	optim	optim	ADJ
bracis-28404	214	2	.	.	PUNCT
bracis-28404	214	3	methods	method	NOUN
bracis-28404	214	4	softw	softw	PROPN
bracis-28404	214	5	.	.	PUNCT
bracis-28404	215	1	3(13	3(13	NUM
bracis-28404	215	2	)	)	PUNCT
bracis-28404	215	3	,	,	PUNCT
bracis-28404	215	4	195–214	195–214	NUM
bracis-28404	215	5	(	(	PUNCT
bracis-28404	215	6	1994	1994	NUM
bracis-28404	215	7	)	)	PUNCT
bracis-28404	215	8	article	article	NOUN
bracis-28404	215	9	  	  	SPACE
bracis-28404	215	10	google	google	PROPN
bracis-28404	215	11	scholar	scholar	NOUN
bracis-28404	215	12	  	  	SPACE
bracis-28404	215	13	dunning	dunning	NOUN
bracis-28404	215	14	,	,	PUNCT
bracis-28404	215	15	i.	i.	NOUN
bracis-28404	215	16	,	,	PUNCT
bracis-28404	215	17	gupta	gupta	PROPN
bracis-28404	215	18	,	,	PUNCT
bracis-28404	215	19	s.	s.	PROPN
bracis-28404	215	20	,	,	PUNCT
bracis-28404	215	21	silberholz	silberholz	PROPN
bracis-28404	215	22	,	,	PUNCT
bracis-28404	215	23	j.	j.	PROPN
bracis-28404	215	24	:	:	PUNCT
bracis-28404	215	25	what	what	PRON
bracis-28404	215	26	works	work	VERB
bracis-28404	215	27	best	well	ADV
bracis-28404	215	28	when	when	SCONJ
bracis-28404	215	29	?	?	PUNCT
bracis-28404	216	1	a	a	DET
bracis-28404	216	2	systematic	systematic	ADJ
bracis-28404	216	3	evaluation	evaluation	NOUN
bracis-28404	216	4	of	of	ADP
bracis-28404	216	5	heuristics	heuristic	NOUN
bracis-28404	216	6	for	for	ADP
bracis-28404	216	7	max	max	NOUN
bracis-28404	216	8	-	-	PUNCT
bracis-28404	216	9	cut	cut	NOUN
bracis-28404	216	10	and	and	CCONJ
bracis-28404	216	11	qubo	qubo	NOUN
bracis-28404	216	12	.	.	PUNCT
bracis-28404	216	13	informs	inform	VERB
bracis-28404	216	14	j.	j.	PROPN
bracis-28404	216	15	comput	comput	PROPN
bracis-28404	216	16	.	.	PUNCT
bracis-28404	217	1	30(3	30(3	NOUN
bracis-28404	217	2	)	)	PUNCT
bracis-28404	217	3	,	,	PUNCT
bracis-28404	217	4	608–624	608–624	NUM
bracis-28404	217	5	(	(	PUNCT
bracis-28404	217	6	2018	2018	NUM
bracis-28404	217	7	)	)	PUNCT
bracis-28404	217	8	article	article	NOUN
bracis-28404	217	9	  	  	SPACE
bracis-28404	217	10	math	math	NOUN
bracis-28404	217	11	  	  	SPACE
bracis-28404	217	12	google	google	PROPN
bracis-28404	217	13	scholar	scholar	NOUN
bracis-28404	217	14	  	  	SPACE
bracis-28404	217	15	facchetti	facchetti	PROPN
bracis-28404	217	16	,	,	PUNCT
bracis-28404	217	17	g.	g.	NOUN
bracis-28404	217	18	,	,	PUNCT
bracis-28404	217	19	iacono	iacono	NOUN
bracis-28404	217	20	,	,	PUNCT
bracis-28404	217	21	g.	g.	PROPN
bracis-28404	217	22	,	,	PUNCT
bracis-28404	217	23	altafini	altafini	PROPN
bracis-28404	217	24	,	,	PUNCT
bracis-28404	217	25	c.	c.	NOUN
bracis-28404	217	26	:	:	PUNCT
bracis-28404	217	27	computing	compute	VERB
bracis-28404	217	28	global	global	ADJ
bracis-28404	217	29	structural	structural	ADJ
bracis-28404	217	30	balance	balance	NOUN
bracis-28404	217	31	in	in	ADP
bracis-28404	217	32	large	large	ADJ
bracis-28404	217	33	-	-	PUNCT
bracis-28404	217	34	scale	scale	NOUN
bracis-28404	217	35	signed	sign	VERB
bracis-28404	217	36	social	social	ADJ
bracis-28404	217	37	networks	network	NOUN
bracis-28404	217	38	.	.	PUNCT
bracis-28404	218	1	proc	proc	PROPN
bracis-28404	218	2	.	.	PUNCT
bracis-28404	219	1	natl	natl	PROPN
bracis-28404	219	2	.	.	PUNCT
bracis-28404	220	1	acad	acad	PROPN
bracis-28404	220	2	.	.	PUNCT
bracis-28404	221	1	sci	sci	PROPN
bracis-28404	221	2	.	.	PROPN
bracis-28404	221	3	108(52	108(52	NUM
bracis-28404	221	4	)	)	PUNCT
bracis-28404	221	5	,	,	PUNCT
bracis-28404	221	6	20953–20958	20953–20958	NUM
bracis-28404	221	7	(	(	PUNCT
bracis-28404	221	8	2011	2011	NUM
bracis-28404	221	9	)	)	PUNCT
bracis-28404	221	10	article	article	NOUN
bracis-28404	221	11	  	  	SPACE
bracis-28404	221	12	google	google	PROPN
bracis-28404	221	13	scholar	scholar	NOUN
bracis-28404	221	14	  	  	SPACE
bracis-28404	221	15	galinier	galinier	NOUN
bracis-28404	221	16	,	,	PUNCT
bracis-28404	221	17	p.	p.	NOUN
bracis-28404	221	18	,	,	PUNCT
bracis-28404	221	19	boujbel	boujbel	PROPN
bracis-28404	221	20	,	,	PUNCT
bracis-28404	221	21	z.	z.	PROPN
bracis-28404	221	22	,	,	PUNCT
bracis-28404	221	23	fernandes	fernande	NOUN
bracis-28404	221	24	,	,	PUNCT
bracis-28404	221	25	m.	m.	NOUN
bracis-28404	221	26	:	:	PUNCT
bracis-28404	221	27	an	an	DET
bracis-28404	221	28	efficient	efficient	ADJ
bracis-28404	221	29	memetic	memetic	ADJ
bracis-28404	221	30	algorithm	algorithm	NOUN
bracis-28404	221	31	for	for	ADP
bracis-28404	221	32	the	the	DET
bracis-28404	221	33	graph	graph	NOUN
bracis-28404	221	34	partitioning	partitioning	NOUN
bracis-28404	221	35	problem	problem	NOUN
bracis-28404	221	36	.	.	PUNCT
bracis-28404	222	1	annals	annal	NOUN
bracis-28404	222	2	or	or	CCONJ
bracis-28404	222	3	191	191	NUM
bracis-28404	222	4	,	,	PUNCT
bracis-28404	222	5	1–22	1–22	PROPN
bracis-28404	222	6	(	(	PUNCT
bracis-28404	222	7	2011	2011	NUM
bracis-28404	222	8	)	)	PUNCT
bracis-28404	222	9	article	article	NOUN
bracis-28404	222	10	  	  	SPACE
bracis-28404	222	11	mathscinet	mathscinet	NOUN
bracis-28404	222	12	  	  	SPACE
bracis-28404	222	13	math	math	NOUN
bracis-28404	222	14	  	  	SPACE
bracis-28404	222	15	google	google	PROPN
bracis-28404	222	16	scholar	scholar	NOUN
bracis-28404	222	17	  	  	SPACE
bracis-28404	222	18	helmberg	helmberg	PROPN
bracis-28404	222	19	,	,	PUNCT
bracis-28404	222	20	c.	c.	NOUN
bracis-28404	222	21	,	,	PUNCT
bracis-28404	222	22	rendl	rendl	ADJ
bracis-28404	222	23	,	,	PUNCT
bracis-28404	222	24	f.	f.	PROPN
bracis-28404	222	25	:	:	PUNCT
bracis-28404	222	26	a	a	DET
bracis-28404	222	27	spectral	spectral	ADJ
bracis-28404	222	28	bundle	bundle	NOUN
bracis-28404	222	29	method	method	NOUN
bracis-28404	222	30	for	for	ADP
bracis-28404	222	31	semidefinite	semidefinite	PROPN
bracis-28404	222	32	programming	programming	NOUN
bracis-28404	222	33	.	.	PUNCT
bracis-28404	223	1	siam	siam	PROPN
bracis-28404	223	2	j.	j.	PROPN
bracis-28404	223	3	optim	optim	PROPN
bracis-28404	223	4	.	.	PUNCT
bracis-28404	224	1	10(3	10(3	NUM
bracis-28404	224	2	)	)	PUNCT
bracis-28404	224	3	,	,	PUNCT
bracis-28404	225	1	673–696	673–696	NUM
bracis-28404	225	2	(	(	PUNCT
bracis-28404	225	3	2000	2000	NUM
bracis-28404	225	4	)	)	PUNCT
bracis-28404	225	5	article	article	NOUN
bracis-28404	225	6	  	  	SPACE
bracis-28404	225	7	mathscinet	mathscinet	NOUN
bracis-28404	225	8	  	  	SPACE
bracis-28404	225	9	math	math	NOUN
bracis-28404	225	10	  	  	SPACE
bracis-28404	225	11	google	google	PROPN
bracis-28404	225	12	scholar	scholar	NOUN
bracis-28404	225	13	  	  	SPACE
bracis-28404	225	14	karp	karp	NOUN
bracis-28404	225	15	,	,	PUNCT
bracis-28404	225	16	r.m	r.m	PROPN
bracis-28404	225	17	.	.	PROPN
bracis-28404	225	18	:	:	PUNCT
bracis-28404	225	19	reducibility	reducibility	NOUN
bracis-28404	225	20	among	among	ADP
bracis-28404	225	21	combinatorial	combinatorial	ADJ
bracis-28404	225	22	problems	problem	NOUN
bracis-28404	225	23	.	.	PUNCT
bracis-28404	226	1	in	in	ADP
bracis-28404	226	2	:	:	PUNCT
bracis-28404	226	3	miller	miller	PROPN
bracis-28404	226	4	,	,	PUNCT
bracis-28404	226	5	r.e	r.e	PROPN
bracis-28404	226	6	.	.	PROPN
bracis-28404	226	7	,	,	PUNCT
bracis-28404	226	8	thatcher	thatcher	PROPN
bracis-28404	226	9	,	,	PUNCT
bracis-28404	226	10	j.w	j.w	PROPN
bracis-28404	226	11	.	.	PROPN
bracis-28404	226	12	,	,	PUNCT
bracis-28404	226	13	bohlinger	bohlinger	PROPN
bracis-28404	226	14	,	,	PUNCT
bracis-28404	226	15	j.d	j.d	PROPN
bracis-28404	226	16	.	.	PROPN
bracis-28404	226	17	(	(	PUNCT
bracis-28404	226	18	eds	ed	NOUN
bracis-28404	226	19	.	.	PUNCT
bracis-28404	226	20	)	)	PUNCT
bracis-28404	226	21	complexity	complexity	NOUN
bracis-28404	226	22	of	of	ADP
bracis-28404	226	23	computer	computer	NOUN
bracis-28404	226	24	computations	computation	NOUN
bracis-28404	226	25	,	,	PUNCT
bracis-28404	226	26	pp	pp	ADP
bracis-28404	226	27	.	.	PUNCT
bracis-28404	227	1	85–103	85–103	NUM
bracis-28404	227	2	.	.	PUNCT
bracis-28404	227	3	springer	springer	NOUN
bracis-28404	227	4	,	,	PUNCT
bracis-28404	227	5	cham	cham	PROPN
bracis-28404	227	6	(	(	PUNCT
bracis-28404	227	7	1972	1972	NUM
bracis-28404	227	8	)	)	PUNCT
bracis-28404	227	9	.	.	PUNCT
bracis-28404	228	1	https://doi.org/10.1007/978-1-4684-2001-2_9	https://doi.org/10.1007/978-1-4684-2001-2_9	PROPN
bracis-28404	228	2	kim	kim	PROPN
bracis-28404	228	3	,	,	PUNCT
bracis-28404	228	4	s.h	s.h	PROPN
bracis-28404	228	5	.	.	PROPN
bracis-28404	228	6	,	,	PUNCT
bracis-28404	228	7	kim	kim	PROPN
bracis-28404	228	8	,	,	PUNCT
bracis-28404	228	9	y.h	y.h	PROPN
bracis-28404	228	10	.	.	PROPN
bracis-28404	228	11	,	,	PUNCT
bracis-28404	228	12	moon	moon	PROPN
bracis-28404	228	13	,	,	PUNCT
bracis-28404	228	14	b.r	b.r	PROPN
bracis-28404	228	15	.	.	PROPN
bracis-28404	228	16	:	:	PUNCT
bracis-28404	228	17	a	a	DET
bracis-28404	228	18	hybrid	hybrid	ADJ
bracis-28404	228	19	genetic	genetic	ADJ
bracis-28404	228	20	algorithm	algorithm	NOUN
bracis-28404	228	21	for	for	ADP
bracis-28404	228	22	the	the	DET
bracis-28404	228	23	max	max	PROPN
bracis-28404	228	24	cut	cut	PROPN
bracis-28404	228	25	problem	problem	NOUN
bracis-28404	228	26	.	.	PUNCT
bracis-28404	229	1	in	in	ADP
bracis-28404	229	2	:	:	PUNCT
bracis-28404	229	3	proceedings	proceeding	NOUN
bracis-28404	229	4	of	of	ADP
bracis-28404	229	5	the	the	DET
bracis-28404	229	6	3rd	3rd	ADJ
bracis-28404	229	7	annual	annual	ADJ
bracis-28404	229	8	conference	conference	NOUN
bracis-28404	229	9	on	on	ADP
bracis-28404	229	10	genetic	genetic	ADJ
bracis-28404	229	11	and	and	CCONJ
bracis-28404	229	12	evolutionary	evolutionary	ADJ
bracis-28404	229	13	computation	computation	NOUN
bracis-28404	229	14	,	,	PUNCT
bracis-28404	229	15	pp	pp	ADJ
bracis-28404	229	16	.	.	PUNCT
bracis-28404	230	1	416–423	416–423	NUM
bracis-28404	230	2	.	.	PUNCT
bracis-28404	231	1	morgan	morgan	PROPN
bracis-28404	231	2	kaufmann	kaufmann	PROPN
bracis-28404	231	3	publishers	publishers	PROPN
bracis-28404	231	4	inc	inc	PROPN
bracis-28404	232	1	.	.	PROPN
bracis-28404	232	2	(	(	PUNCT
bracis-28404	232	3	2001	2001	NUM
bracis-28404	232	4	)	)	PUNCT
bracis-28404	232	5	google	google	PROPN
bracis-28404	232	6	scholar	scholar	NOUN
bracis-28404	232	7	  	  	SPACE
bracis-28404	232	8	kim	kim	PROPN
bracis-28404	232	9	,	,	PUNCT
bracis-28404	232	10	y.h	y.h	PROPN
bracis-28404	232	11	.	.	PROPN
bracis-28404	232	12	,	,	PUNCT
bracis-28404	232	13	yoon	yoon	PROPN
bracis-28404	232	14	,	,	PUNCT
bracis-28404	232	15	y.	y.	PROPN
bracis-28404	232	16	,	,	PUNCT
bracis-28404	232	17	geem	geem	PROPN
bracis-28404	232	18	,	,	PUNCT
bracis-28404	232	19	z.w	z.w	PROPN
bracis-28404	232	20	.	.	PUNCT
bracis-28404	232	21	:	:	PUNCT
bracis-28404	233	1	a	a	DET
bracis-28404	233	2	comparison	comparison	NOUN
bracis-28404	233	3	study	study	NOUN
bracis-28404	233	4	of	of	ADP
bracis-28404	233	5	harmony	harmony	NOUN
bracis-28404	233	6	search	search	NOUN
bracis-28404	233	7	and	and	CCONJ
bracis-28404	233	8	genetic	genetic	ADJ
bracis-28404	233	9	algorithm	algorithm	NOUN
bracis-28404	233	10	for	for	ADP
bracis-28404	233	11	the	the	DET
bracis-28404	233	12	max	max	PROPN
bracis-28404	233	13	-	-	PUNCT
bracis-28404	233	14	cut	cut	VERB
bracis-28404	233	15	problem	problem	NOUN
bracis-28404	233	16	.	.	PUNCT
bracis-28404	234	1	swarm	swarm	NOUN
bracis-28404	234	2	evol	evol	NOUN
bracis-28404	234	3	.	.	PUNCT
bracis-28404	235	1	comput	comput	NOUN
bracis-28404	235	2	.	.	PUNCT
bracis-28404	236	1	44	44	NUM
bracis-28404	236	2	,	,	PUNCT
bracis-28404	236	3	130–135	130–135	NUM
bracis-28404	236	4	(	(	PUNCT
bracis-28404	236	5	2019	2019	NUM
bracis-28404	236	6	)	)	PUNCT
bracis-28404	236	7	article	article	NOUN
bracis-28404	236	8	  	  	SPACE
bracis-28404	236	9	google	google	PROPN
bracis-28404	236	10	scholar	scholar	NOUN
bracis-28404	236	11	  	  	SPACE
bracis-28404	236	12	kochenberger	kochenberger	NOUN
bracis-28404	236	13	,	,	PUNCT
bracis-28404	236	14	g.a	g.a	PROPN
bracis-28404	236	15	.	.	PROPN
bracis-28404	236	16	,	,	PUNCT
bracis-28404	236	17	hao	hao	PROPN
bracis-28404	236	18	,	,	PUNCT
bracis-28404	236	19	j.k	j.k	PROPN
bracis-28404	236	20	.	.	PROPN
bracis-28404	236	21	,	,	PUNCT
bracis-28404	236	22	lü	lü	PROPN
bracis-28404	236	23	,	,	PUNCT
bracis-28404	236	24	z.	z.	PROPN
bracis-28404	236	25	,	,	PUNCT
bracis-28404	236	26	wang	wang	PROPN
bracis-28404	236	27	,	,	PUNCT
bracis-28404	236	28	h.	h.	PROPN
bracis-28404	236	29	,	,	PUNCT
bracis-28404	236	30	glover	glover	PROPN
bracis-28404	236	31	,	,	PUNCT
bracis-28404	236	32	f.	f.	PROPN
bracis-28404	236	33	:	:	PUNCT
bracis-28404	236	34	solving	solve	VERB
bracis-28404	236	35	large	large	ADJ
bracis-28404	236	36	scale	scale	NOUN
bracis-28404	236	37	max	max	PROPN
bracis-28404	236	38	cut	cut	VERB
bracis-28404	236	39	problems	problem	NOUN
bracis-28404	236	40	via	via	ADP
bracis-28404	236	41	tabu	tabu	NOUN
bracis-28404	236	42	search	search	NOUN
bracis-28404	236	43	.	.	PUNCT
bracis-28404	237	1	j.	j.	PROPN
bracis-28404	237	2	heuristics	heuristics	PROPN
bracis-28404	237	3	19(4	19(4	NUM
bracis-28404	237	4	)	)	PUNCT
bracis-28404	237	5	,	,	PUNCT
bracis-28404	238	1	565–571	565–571	NUM
bracis-28404	238	2	(	(	PUNCT
bracis-28404	238	3	2013	2013	NUM
bracis-28404	238	4	)	)	PUNCT
bracis-28404	238	5	article	article	NOUN
bracis-28404	238	6	  	  	SPACE
bracis-28404	238	7	google	google	PROPN
bracis-28404	238	8	scholar	scholar	NOUN
bracis-28404	238	9	  	  	SPACE
bracis-28404	238	10	kolli	kolli	PROPN
bracis-28404	238	11	,	,	PUNCT
bracis-28404	238	12	n.	n.	NOUN
bracis-28404	238	13	,	,	PUNCT
bracis-28404	238	14	narayanaswamy	narayanaswamy	PROPN
bracis-28404	238	15	,	,	PUNCT
bracis-28404	238	16	b.	b.	PROPN
bracis-28404	238	17	:	:	PUNCT
bracis-28404	238	18	influence	influence	VERB
bracis-28404	238	19	maximization	maximization	NOUN
bracis-28404	238	20	from	from	ADP
bracis-28404	238	21	cascade	cascade	NOUN
bracis-28404	238	22	information	information	NOUN
bracis-28404	238	23	traces	trace	NOUN
bracis-28404	238	24	in	in	ADP
bracis-28404	238	25	complex	complex	ADJ
bracis-28404	238	26	networks	network	NOUN
bracis-28404	238	27	in	in	ADP
bracis-28404	238	28	the	the	DET
bracis-28404	238	29	absence	absence	NOUN
bracis-28404	238	30	of	of	ADP
bracis-28404	238	31	network	network	NOUN
bracis-28404	238	32	structure	structure	NOUN
bracis-28404	238	33	.	.	PUNCT
bracis-28404	239	1	ieee	ieee	PROPN
bracis-28404	239	2	trans	trans	PROPN
bracis-28404	239	3	.	.	PUNCT
bracis-28404	240	1	comput	comput	NOUN
bracis-28404	240	2	.	.	PUNCT
bracis-28404	241	1	soc	soc	PROPN
bracis-28404	241	2	.	.	PUNCT
bracis-28404	242	1	syst	syst	PROPN
bracis-28404	242	2	.	.	PUNCT
bracis-28404	243	1	6(6	6(6	NUM
bracis-28404	243	2	)	)	PUNCT
bracis-28404	243	3	,	,	PUNCT
bracis-28404	243	4	1147–1155	1147–1155	NUM
bracis-28404	243	5	(	(	PUNCT
bracis-28404	243	6	2019	2019	NUM
bracis-28404	243	7	)	)	PUNCT
bracis-28404	243	8	article	article	NOUN
bracis-28404	243	9	  	  	SPACE
bracis-28404	243	10	google	google	PROPN
bracis-28404	243	11	scholar	scholar	NOUN
bracis-28404	243	12	  	  	SPACE
bracis-28404	243	13	krislock	krislock	NOUN
bracis-28404	243	14	,	,	PUNCT
bracis-28404	243	15	n.	n.	PROPN
bracis-28404	243	16	,	,	PUNCT
bracis-28404	243	17	malick	malick	PROPN
bracis-28404	243	18	,	,	PUNCT
bracis-28404	243	19	j.	j.	PROPN
bracis-28404	243	20	,	,	PUNCT
bracis-28404	243	21	rouoin	rouoin	PROPN
bracis-28404	243	22	,	,	PUNCT
bracis-28404	243	23	f.	f.	PROPN
bracis-28404	243	24	:	:	PUNCT
bracis-28404	243	25	improved	improved	ADJ
bracis-28404	243	26	semidefinite	semidefinite	NOUN
bracis-28404	243	27	bounding	bounding	NOUN
bracis-28404	243	28	procedure	procedure	NOUN
bracis-28404	243	29	for	for	ADP
bracis-28404	243	30	solving	solve	VERB
bracis-28404	243	31	max	max	NOUN
bracis-28404	243	32	-	-	PUNCT
bracis-28404	243	33	cut	cut	VERB
bracis-28404	243	34	problems	problem	NOUN
bracis-28404	243	35	to	to	ADP
bracis-28404	243	36	optimality	optimality	NOUN
bracis-28404	243	37	.	.	PUNCT
bracis-28404	244	1	math	math	NOUN
bracis-28404	244	2	.	.	PUNCT
bracis-28404	245	1	program	program	NOUN
bracis-28404	245	2	.	.	PUNCT
bracis-28404	246	1	143(1–2	143(1–2	NUM
bracis-28404	246	2	)	)	PUNCT
bracis-28404	246	3	,	,	PUNCT
bracis-28404	246	4	61–86	61–86	NUM
bracis-28404	246	5	(	(	PUNCT
bracis-28404	246	6	2014	2014	NUM
bracis-28404	246	7	)	)	PUNCT
bracis-28404	246	8	article	article	NOUN
bracis-28404	246	9	  	  	SPACE
bracis-28404	246	10	mathscinet	mathscinet	NOUN
bracis-28404	246	11	  	  	SPACE
bracis-28404	246	12	math	math	NOUN
bracis-28404	246	13	  	  	SPACE
bracis-28404	246	14	google	google	PROPN
bracis-28404	246	15	scholar	scholar	NOUN
bracis-28404	246	16	  	  	SPACE
bracis-28404	246	17	ma	ma	PROPN
bracis-28404	246	18	,	,	PUNCT
bracis-28404	246	19	f.	f.	PROPN
bracis-28404	246	20	,	,	PUNCT
bracis-28404	246	21	hao	hao	PROPN
bracis-28404	246	22	,	,	PUNCT
bracis-28404	246	23	j.k	j.k	PROPN
bracis-28404	246	24	.	.	PROPN
bracis-28404	246	25	:	:	PUNCT
bracis-28404	247	1	a	a	DET
bracis-28404	247	2	multiple	multiple	ADJ
bracis-28404	247	3	search	search	NOUN
bracis-28404	247	4	operator	operator	NOUN
bracis-28404	247	5	heuristic	heuristic	NOUN
bracis-28404	247	6	for	for	ADP
bracis-28404	247	7	the	the	DET
bracis-28404	247	8	max	max	PROPN
bracis-28404	247	9	-	-	PUNCT
bracis-28404	247	10	k	k	NOUN
bracis-28404	247	11	-	-	PUNCT
bracis-28404	247	12	cut	cut	VERB
bracis-28404	247	13	problem	problem	NOUN
bracis-28404	247	14	.	.	PUNCT
bracis-28404	248	1	ann	ann	PROPN
bracis-28404	248	2	.	.	PUNCT
bracis-28404	248	3	oper	oper	PROPN
bracis-28404	248	4	.	.	PUNCT
bracis-28404	249	1	res	re	NOUN
bracis-28404	249	2	.	.	PUNCT
bracis-28404	250	1	248(1–2	248(1–2	NUM
bracis-28404	250	2	)	)	PUNCT
bracis-28404	250	3	,	,	PUNCT
bracis-28404	250	4	365–403	365–403	NUM
bracis-28404	250	5	(	(	PUNCT
bracis-28404	250	6	2017	2017	NUM
bracis-28404	250	7	)	)	PUNCT
bracis-28404	250	8	article	article	NOUN
bracis-28404	250	9	  	  	SPACE
bracis-28404	250	10	mathscinet	mathscinet	NOUN
bracis-28404	250	11	  	  	SPACE
bracis-28404	250	12	math	math	NOUN
bracis-28404	250	13	  	  	SPACE
bracis-28404	250	14	google	google	PROPN
bracis-28404	250	15	scholar	scholar	NOUN
bracis-28404	250	16	  	  	SPACE
bracis-28404	250	17	martí	martí	NOUN
bracis-28404	250	18	,	,	PUNCT
bracis-28404	250	19	r.	r.	PROPN
bracis-28404	250	20	,	,	PUNCT
bracis-28404	250	21	duarte	duarte	PROPN
bracis-28404	250	22	,	,	PUNCT
bracis-28404	250	23	a.	a.	PROPN
bracis-28404	250	24	,	,	PUNCT
bracis-28404	250	25	laguna	laguna	PROPN
bracis-28404	250	26	,	,	PUNCT
bracis-28404	250	27	m.	m.	NOUN
bracis-28404	250	28	:	:	PUNCT
bracis-28404	250	29	advanced	advanced	ADJ
bracis-28404	250	30	scatter	scatter	NOUN
bracis-28404	250	31	search	search	NOUN
bracis-28404	250	32	for	for	ADP
bracis-28404	250	33	the	the	DET
bracis-28404	250	34	max	max	PROPN
bracis-28404	250	35	-	-	PUNCT
bracis-28404	250	36	cut	cut	VERB
bracis-28404	250	37	problem	problem	NOUN
bracis-28404	250	38	.	.	PUNCT
bracis-28404	250	39	informs	inform	VERB
bracis-28404	250	40	j.	j.	PROPN
bracis-28404	250	41	comput	comput	PROPN
bracis-28404	250	42	.	.	PUNCT
bracis-28404	251	1	21(1	21(1	NUM
bracis-28404	251	2	)	)	PUNCT
bracis-28404	251	3	,	,	PUNCT
bracis-28404	251	4	26–38	26–38	NUM
bracis-28404	251	5	(	(	PUNCT
bracis-28404	251	6	2009	2009	NUM
bracis-28404	251	7	)	)	PUNCT
bracis-28404	251	8	article	article	NOUN
bracis-28404	251	9	  	  	SPACE
bracis-28404	251	10	mathscinet	mathscinet	NOUN
bracis-28404	251	11	  	  	SPACE
bracis-28404	251	12	math	math	NOUN
bracis-28404	251	13	  	  	SPACE
bracis-28404	251	14	google	google	PROPN
bracis-28404	251	15	scholar	scholar	NOUN
bracis-28404	251	16	  	  	SPACE
bracis-28404	251	17	mirjalili	mirjalili	NOUN
bracis-28404	251	18	,	,	PUNCT
bracis-28404	251	19	s.	s.	PROPN
bracis-28404	251	20	:	:	PUNCT
bracis-28404	251	21	genetic	genetic	ADJ
bracis-28404	251	22	algorithm	algorithm	NOUN
bracis-28404	251	23	.	.	PUNCT
bracis-28404	252	1	in	in	ADP
bracis-28404	252	2	:	:	PUNCT
bracis-28404	252	3	evolutionary	evolutionary	ADJ
bracis-28404	252	4	algorithms	algorithm	NOUN
bracis-28404	252	5	and	and	CCONJ
bracis-28404	252	6	neural	neural	ADJ
bracis-28404	252	7	networks	network	NOUN
bracis-28404	252	8	.	.	PUNCT
bracis-28404	253	1	sci	sci	PROPN
bracis-28404	253	2	,	,	PUNCT
bracis-28404	253	3	vol	vol	NOUN
bracis-28404	253	4	.	.	PUNCT
bracis-28404	253	5	780	780	NUM
bracis-28404	253	6	,	,	PUNCT
bracis-28404	253	7	pp	pp	ADJ
bracis-28404	253	8	.	.	PUNCT
bracis-28404	254	1	43–55	43–55	NUM
bracis-28404	254	2	.	.	PUNCT
bracis-28404	255	1	springer	springer	NOUN
bracis-28404	255	2	,	,	PUNCT
bracis-28404	255	3	cham	cham	PROPN
bracis-28404	255	4	(	(	PUNCT
bracis-28404	255	5	2019	2019	NUM
bracis-28404	255	6	)	)	PUNCT
bracis-28404	255	7	.	.	PUNCT
bracis-28404	256	1	https://doi.org/10.1007/978-3-319-93025-1_4	https://doi.org/10.1007/978-3-319-93025-1_4	PUNCT
bracis-28404	256	2	chapter	chapter	NOUN
bracis-28404	256	3	  	  	SPACE
bracis-28404	256	4	math	math	NOUN
bracis-28404	256	5	  	  	SPACE
bracis-28404	256	6	google	google	PROPN
bracis-28404	256	7	scholar	scholar	NOUN
bracis-28404	256	8	  	  	SPACE
bracis-28404	256	9	myklebust	myklebust	NOUN
bracis-28404	256	10	,	,	PUNCT
bracis-28404	256	11	t.g	t.g	PROPN
bracis-28404	256	12	.	.	PROPN
bracis-28404	256	13	:	:	PUNCT
bracis-28404	256	14	solving	solve	VERB
bracis-28404	256	15	maximum	maximum	ADJ
bracis-28404	256	16	cut	cut	NOUN
bracis-28404	256	17	problems	problem	NOUN
bracis-28404	256	18	by	by	ADP
bracis-28404	256	19	simulated	simulated	ADJ
bracis-28404	256	20	annealing	annealing	NOUN
bracis-28404	256	21	.	.	PUNCT
bracis-28404	257	1	arxiv	arxiv	PROPN
bracis-28404	257	2	preprint	preprint	PROPN
bracis-28404	257	3	(	(	PUNCT
bracis-28404	257	4	2015	2015	NUM
bracis-28404	257	5	)	)	PUNCT
bracis-28404	257	6	google	google	PROPN
bracis-28404	257	7	scholar	scholar	NOUN
bracis-28404	257	8	  	  	SPACE
bracis-28404	257	9	pandey	pandey	PROPN
bracis-28404	257	10	,	,	PUNCT
bracis-28404	257	11	a.	a.	PROPN
bracis-28404	257	12	,	,	PUNCT
bracis-28404	257	13	banerjee	banerjee	PROPN
bracis-28404	257	14	,	,	PUNCT
bracis-28404	257	15	s.	s.	PROPN
bracis-28404	257	16	:	:	PUNCT
bracis-28404	257	17	test	test	NOUN
bracis-28404	257	18	suite	suite	NOUN
bracis-28404	257	19	optimization	optimization	NOUN
bracis-28404	257	20	using	use	VERB
bracis-28404	257	21	firefly	firefly	NOUN
bracis-28404	257	22	and	and	CCONJ
bracis-28404	257	23	genetic	genetic	ADJ
bracis-28404	257	24	algorithm	algorithm	NOUN
bracis-28404	257	25	.	.	PUNCT
bracis-28404	258	1	int	int	NOUN
bracis-28404	258	2	.	.	PUNCT
bracis-28404	259	1	j.	j.	PROPN
bracis-28404	259	2	softw	softw	PROPN
bracis-28404	259	3	.	.	PUNCT
bracis-28404	260	1	sci	sci	PROPN
bracis-28404	260	2	.	.	PUNCT
bracis-28404	260	3	comput	comput	PROPN
bracis-28404	260	4	.	.	PUNCT
bracis-28404	261	1	intell	intell	PROPN
bracis-28404	261	2	.	.	PUNCT
bracis-28404	262	1	(	(	PUNCT
bracis-28404	262	2	ijssci	ijssci	PROPN
bracis-28404	262	3	)	)	PUNCT
bracis-28404	262	4	11(1	11(1	NUM
bracis-28404	262	5	)	)	PUNCT
bracis-28404	262	6	,	,	PUNCT
bracis-28404	262	7	31–46	31–46	NUM
bracis-28404	262	8	(	(	PUNCT
bracis-28404	262	9	2019	2019	NUM
bracis-28404	262	10	)	)	PUNCT
bracis-28404	262	11	article	article	NOUN
bracis-28404	262	12	  	  	SPACE
bracis-28404	262	13	google	google	PROPN
bracis-28404	262	14	scholar	scholar	NOUN
bracis-28404	262	15	  	  	SPACE
bracis-28404	262	16	rendl	rendl	ADJ
bracis-28404	262	17	,	,	PUNCT
bracis-28404	262	18	f.	f.	PROPN
bracis-28404	262	19	,	,	PUNCT
bracis-28404	262	20	rinaldi	rinaldi	PROPN
bracis-28404	262	21	,	,	PUNCT
bracis-28404	262	22	g.	g.	PROPN
bracis-28404	262	23	,	,	PUNCT
bracis-28404	262	24	wiegele	wiegele	PROPN
bracis-28404	262	25	,	,	PUNCT
bracis-28404	262	26	a.	a.	NOUN
bracis-28404	262	27	:	:	PUNCT
bracis-28404	262	28	a	a	DET
bracis-28404	262	29	branch	branch	NOUN
bracis-28404	262	30	and	and	CCONJ
bracis-28404	262	31	bound	bind	VERB
bracis-28404	262	32	algorithm	algorithm	NOUN
bracis-28404	262	33	for	for	ADP
bracis-28404	262	34	max	max	PROPN
bracis-28404	262	35	-	-	PUNCT
bracis-28404	262	36	cut	cut	NOUN
bracis-28404	262	37	based	base	VERB
bracis-28404	262	38	on	on	ADP
bracis-28404	262	39	combining	combine	VERB
bracis-28404	262	40	semidefinite	semidefinite	NOUN
bracis-28404	262	41	and	and	CCONJ
bracis-28404	262	42	polyhedral	polyhedral	ADJ
bracis-28404	262	43	relaxations	relaxation	NOUN
bracis-28404	262	44	.	.	PUNCT
bracis-28404	263	1	in	in	ADP
bracis-28404	263	2	:	:	PUNCT
bracis-28404	263	3	fischetti	fischetti	ADJ
bracis-28404	263	4	,	,	PUNCT
bracis-28404	263	5	m.	m.	NOUN
bracis-28404	263	6	,	,	PUNCT
bracis-28404	263	7	williamson	williamson	PROPN
bracis-28404	263	8	,	,	PUNCT
bracis-28404	263	9	d.p	d.p	PROPN
bracis-28404	263	10	.	.	PROPN
bracis-28404	263	11	(	(	PUNCT
bracis-28404	263	12	eds	ed	NOUN
bracis-28404	263	13	.	.	PUNCT
bracis-28404	263	14	)	)	PUNCT
bracis-28404	263	15	ipco	ipco	ADJ
bracis-28404	263	16	2007	2007	NUM
bracis-28404	263	17	.	.	PUNCT
bracis-28404	264	1	lncs	lncs	PROPN
bracis-28404	264	2	,	,	PUNCT
bracis-28404	264	3	vol	vol	NOUN
bracis-28404	264	4	.	.	PUNCT
bracis-28404	264	5	4513	4513	NUM
bracis-28404	264	6	,	,	PUNCT
bracis-28404	264	7	pp	pp	ADV
bracis-28404	264	8	.	.	PUNCT
bracis-28404	265	1	295–309	295–309	NUM
bracis-28404	265	2	.	.	PUNCT
bracis-28404	266	1	springer	springer	NOUN
bracis-28404	266	2	,	,	PUNCT
bracis-28404	266	3	heidelberg	heidelberg	PROPN
bracis-28404	266	4	(	(	PUNCT
bracis-28404	266	5	2007	2007	NUM
bracis-28404	266	6	)	)	PUNCT
bracis-28404	266	7	.	.	PUNCT
bracis-28404	267	1	https://doi.org/10.1007/978-3-540-72792-7_23	https://doi.org/10.1007/978-3-540-72792-7_23	PROPN
bracis-28404	267	2	chapter	chapter	NOUN
bracis-28404	267	3	  	  	SPACE
bracis-28404	267	4	math	math	NOUN
bracis-28404	267	5	  	  	SPACE
bracis-28404	267	6	google	google	PROPN
bracis-28404	267	7	scholar	scholar	NOUN
bracis-28404	267	8	  	  	SPACE
bracis-28404	267	9	sun	sun	NOUN
bracis-28404	267	10	,	,	PUNCT
bracis-28404	267	11	l.	l.	PROPN
bracis-28404	267	12	,	,	PUNCT
bracis-28404	267	13	cheng	cheng	PROPN
bracis-28404	267	14	,	,	PUNCT
bracis-28404	267	15	x.	x.	PROPN
bracis-28404	267	16	,	,	PUNCT
bracis-28404	267	17	liang	liang	PROPN
bracis-28404	267	18	,	,	PUNCT
bracis-28404	267	19	y.	y.	NOUN
bracis-28404	267	20	:	:	PUNCT
bracis-28404	267	21	solving	solve	VERB
bracis-28404	267	22	job	job	NOUN
bracis-28404	267	23	shop	shop	NOUN
bracis-28404	267	24	scheduling	scheduling	NOUN
bracis-28404	267	25	problem	problem	NOUN
bracis-28404	267	26	using	use	VERB
bracis-28404	267	27	genetic	genetic	ADJ
bracis-28404	267	28	algorithm	algorithm	NOUN
bracis-28404	267	29	with	with	ADP
bracis-28404	267	30	penalty	penalty	NOUN
bracis-28404	267	31	function	function	NOUN
bracis-28404	267	32	.	.	PUNCT
bracis-28404	268	1	int	int	NOUN
bracis-28404	268	2	.	.	PUNCT
bracis-28404	269	1	j.	j.	PROPN
bracis-28404	269	2	intell	intell	PROPN
bracis-28404	269	3	.	.	PUNCT
bracis-28404	270	1	inf	inf	PROPN
bracis-28404	270	2	.	.	PUNCT
bracis-28404	270	3	process	process	NOUN
bracis-28404	270	4	.	.	PUNCT
bracis-28404	271	1	1(2	1(2	NUM
bracis-28404	271	2	)	)	PUNCT
bracis-28404	271	3	,	,	PUNCT
bracis-28404	271	4	65–77	65–77	NUM
bracis-28404	271	5	(	(	PUNCT
bracis-28404	271	6	2010	2010	NUM
bracis-28404	271	7	)	)	PUNCT
bracis-28404	271	8	google	google	PROPN
bracis-28404	271	9	scholar	scholar	NOUN
bracis-28404	271	10	  	  	SPACE
bracis-28404	271	11	wu	wu	PROPN
bracis-28404	271	12	,	,	PUNCT
bracis-28404	271	13	q.	q.	PROPN
bracis-28404	271	14	,	,	PUNCT
bracis-28404	271	15	hao	hao	PROPN
bracis-28404	271	16	,	,	PUNCT
bracis-28404	271	17	j.-k	j.-k	PROPN
bracis-28404	271	18	.	.	PUNCT
bracis-28404	272	1	:	:	PUNCT
bracis-28404	272	2	a	a	DET
bracis-28404	272	3	memetic	memetic	ADJ
bracis-28404	272	4	approach	approach	NOUN
bracis-28404	272	5	for	for	ADP
bracis-28404	272	6	the	the	DET
bracis-28404	272	7	max	max	PROPN
bracis-28404	272	8	-	-	PUNCT
bracis-28404	272	9	cut	cut	VERB
bracis-28404	272	10	problem	problem	NOUN
bracis-28404	272	11	.	.	PUNCT
bracis-28404	273	1	in	in	ADP
bracis-28404	273	2	:	:	PUNCT
bracis-28404	273	3	coello	coello	PROPN
bracis-28404	273	4	,	,	PUNCT
bracis-28404	273	5	c.a.c	c.a.c	PROPN
bracis-28404	273	6	.	.	PUNCT
bracis-28404	273	7	,	,	PUNCT
bracis-28404	273	8	cutello	cutello	PROPN
bracis-28404	273	9	,	,	PUNCT
bracis-28404	273	10	v.	v.	PROPN
bracis-28404	273	11	,	,	PUNCT
bracis-28404	273	12	deb	deb	PROPN
bracis-28404	273	13	,	,	PUNCT
bracis-28404	273	14	k.	k.	PROPN
bracis-28404	273	15	,	,	PUNCT
bracis-28404	273	16	forrest	forrest	PROPN
bracis-28404	273	17	,	,	PUNCT
bracis-28404	273	18	s.	s.	PROPN
bracis-28404	273	19	,	,	PUNCT
bracis-28404	273	20	nicosia	nicosia	PROPN
bracis-28404	273	21	,	,	PUNCT
bracis-28404	273	22	g.	g.	PROPN
bracis-28404	273	23	,	,	PUNCT
bracis-28404	273	24	pavone	pavone	NOUN
bracis-28404	273	25	,	,	PUNCT
bracis-28404	273	26	m.	m.	NOUN
bracis-28404	273	27	(	(	PUNCT
bracis-28404	273	28	eds	ed	NOUN
bracis-28404	273	29	.	.	PUNCT
bracis-28404	273	30	)	)	PUNCT
bracis-28404	274	1	ppsn	ppsn	PROPN
bracis-28404	274	2	2012	2012	NUM
bracis-28404	274	3	.	.	PUNCT
bracis-28404	275	1	lncs	lncs	PROPN
bracis-28404	275	2	,	,	PUNCT
bracis-28404	275	3	vol	vol	NOUN
bracis-28404	275	4	.	.	PROPN
bracis-28404	275	5	7492	7492	NUM
bracis-28404	275	6	,	,	PUNCT
bracis-28404	275	7	pp	pp	ADJ
bracis-28404	275	8	.	.	PUNCT
bracis-28404	276	1	297–306	297–306	NUM
bracis-28404	276	2	.	.	PUNCT
bracis-28404	276	3	springer	springer	NOUN
bracis-28404	276	4	,	,	PUNCT
bracis-28404	276	5	heidelberg	heidelberg	PROPN
bracis-28404	276	6	(	(	PUNCT
bracis-28404	276	7	2012	2012	NUM
bracis-28404	276	8	)	)	PUNCT
bracis-28404	276	9	.	.	PUNCT
bracis-28404	277	1	https://doi.org/10.1007/978-3-642-32964-7_30	https://doi.org/10.1007/978-3-642-32964-7_30	PROPN
bracis-28404	277	2	chapter	chapter	NOUN
bracis-28404	277	3	  	  	SPACE
bracis-28404	277	4	google	google	PROPN
bracis-28404	277	5	scholar	scholar	NOUN
bracis-28404	277	6	  	  	SPACE
bracis-28404	277	7	download	download	NOUN
bracis-28404	277	8	references	reference	NOUN
bracis-28404	277	9	author	author	NOUN
bracis-28404	277	10	information	information	NOUN
bracis-28404	277	11	authors	author	NOUN
bracis-28404	277	12	and	and	CCONJ
bracis-28404	277	13	affiliations	affiliation	NOUN
bracis-28404	277	14	nemo	nemo	PROPN
bracis-28404	277	15	research	research	PROPN
bracis-28404	277	16	laboratory	laboratory	PROPN
bracis-28404	277	17	,	,	PUNCT
bracis-28404	277	18	federal	federal	ADJ
bracis-28404	277	19	university	university	PROPN
bracis-28404	277	20	of	of	ADP
bracis-28404	277	21	ceará	ceará	PROPN
bracis-28404	277	22	campus	campus	PROPN
bracis-28404	277	23	russas	russa	NOUN
bracis-28404	277	24	,	,	PUNCT
bracis-28404	277	25	russas	russas	PROPN
bracis-28404	277	26	,	,	PUNCT
bracis-28404	277	27	ce	ce	PROPN
bracis-28404	277	28	,	,	PUNCT
bracis-28404	277	29	62900	62900	NUM
bracis-28404	277	30	-	-	SYM
bracis-28404	277	31	420	420	NUM
bracis-28404	277	32	,	,	PUNCT
bracis-28404	277	33	brazil	brazil	PROPN
bracis-28404	277	34	pablo	pablo	PROPN
bracis-28404	277	35	luiz	luiz	PROPN
bracis-28404	277	36	braga	braga	PROPN
bracis-28404	277	37	soares	soares	PROPN
bracis-28404	277	38	institute	institute	PROPN
bracis-28404	277	39	of	of	ADP
bracis-28404	277	40	computing	computing	PROPN
bracis-28404	277	41	,	,	PUNCT
bracis-28404	277	42	university	university	PROPN
bracis-28404	277	43	of	of	ADP
bracis-28404	277	44	campinas	campinas	PROPN
bracis-28404	277	45	,	,	PUNCT
bracis-28404	277	46	campinas	campinas	PROPN
bracis-28404	277	47	,	,	PUNCT
bracis-28404	277	48	sp	sp	NOUN
bracis-28404	277	49	,	,	PUNCT
bracis-28404	277	50	13083	13083	NUM
bracis-28404	277	51	-	-	SYM
bracis-28404	277	52	970	970	NUM
bracis-28404	277	53	,	,	PUNCT
bracis-28404	277	54	brazil	brazil	PROPN
bracis-28404	277	55	carlos	carlos	PROPN
bracis-28404	277	56	victor	victor	PROPN
bracis-28404	277	57	dantas	dantas	PROPN
bracis-28404	277	58	araújo	araújo	PROPN
bracis-28404	277	59	authors	author	NOUN
bracis-28404	277	60	pablo	pablo	PROPN
bracis-28404	277	61	luiz	luiz	PROPN
bracis-28404	277	62	braga	braga	PROPN
bracis-28404	277	63	soaresview	soaresview	PROPN
bracis-28404	277	64	author	author	NOUN
bracis-28404	277	65	publications	publication	VERB
bracis-28404	277	66	search	search	NOUN
bracis-28404	277	67	author	author	NOUN
bracis-28404	277	68	on	on	ADP
bracis-28404	277	69	:	:	PUNCT
bracis-28404	277	70	pubmed	pubmed	PROPN
bracis-28404	277	71	 	 	SPACE
bracis-28404	277	72	google	google	PROPN
bracis-28404	277	73	scholar	scholar	PROPN
bracis-28404	277	74	carlos	carlos	PROPN
bracis-28404	277	75	victor	victor	PROPN
bracis-28404	277	76	dantas	dantas	PROPN
bracis-28404	277	77	araújoview	araújoview	PROPN
bracis-28404	277	78	author	author	NOUN
bracis-28404	277	79	publications	publication	NOUN
bracis-28404	277	80	search	search	NOUN
bracis-28404	277	81	author	author	NOUN
bracis-28404	277	82	on	on	ADP
bracis-28404	277	83	:	:	PUNCT
bracis-28404	277	84	pubmed	pubmed	PROPN
bracis-28404	277	85	 	 	SPACE
bracis-28404	277	86	google	google	PROPN
bracis-28404	277	87	scholar	scholar	NOUN
bracis-28404	277	88	corresponding	correspond	VERB
bracis-28404	277	89	author	author	NOUN
bracis-28404	277	90	correspondence	correspondence	NOUN
bracis-28404	277	91	to	to	ADP
bracis-28404	277	92	pablo	pablo	PROPN
bracis-28404	277	93	luiz	luiz	PROPN
bracis-28404	277	94	braga	braga	PROPN
bracis-28404	277	95	soares	soar	VERB
bracis-28404	277	96	.	.	PUNCT
bracis-28404	278	1	editor	editor	NOUN
bracis-28404	278	2	information	information	NOUN
bracis-28404	278	3	editors	editor	NOUN
bracis-28404	278	4	and	and	CCONJ
bracis-28404	278	5	affiliations	affiliation	NOUN
bracis-28404	278	6	federal	federal	PROPN
bracis-28404	278	7	university	university	PROPN
bracis-28404	278	8	of	of	ADP
bracis-28404	278	9	são	são	PROPN
bracis-28404	278	10	carlos	carlos	PROPN
bracis-28404	278	11	,	,	PUNCT
bracis-28404	278	12	são	são	PROPN
bracis-28404	278	13	carlos	carlos	PROPN
bracis-28404	278	14	,	,	PUNCT
bracis-28404	278	15	brazil	brazil	PROPN
bracis-28404	278	16	murilo	murilo	PROPN
bracis-28404	278	17	c.	c.	PROPN
bracis-28404	278	18	naldi	naldi	PROPN
bracis-28404	278	19	centro	centro	PROPN
bracis-28404	278	20	universitario	universitario	PROPN
bracis-28404	278	21	da	da	PROPN
bracis-28404	278	22	fei	fei	PROPN
bracis-28404	278	23	,	,	PUNCT
bracis-28404	278	24	são	são	PROPN
bracis-28404	278	25	bernardo	bernardo	PROPN
bracis-28404	278	26	do	do	AUX
bracis-28404	278	27	campo	campo	PROPN
bracis-28404	278	28	,	,	PUNCT
bracis-28404	278	29	brazil	brazil	PROPN
bracis-28404	278	30	reinaldo	reinaldo	PROPN
bracis-28404	278	31	a.	a.	PROPN
bracis-28404	278	32	c.	c.	PROPN
bracis-28404	278	33	bianchi	bianchi	PROPN
bracis-28404	278	34	rights	right	NOUN
bracis-28404	278	35	and	and	CCONJ
bracis-28404	278	36	permissions	permission	NOUN
bracis-28404	278	37	reprints	reprint	NOUN
bracis-28404	278	38	and	and	CCONJ
bracis-28404	278	39	permissions	permission	VERB
bracis-28404	278	40	copyright	copyright	NOUN
bracis-28404	278	41	information	information	NOUN
bracis-28404	278	42	©	©	ADP
bracis-28404	278	43	2023	2023	NUM
bracis-28404	278	44	the	the	DET
bracis-28404	278	45	author(s	author(s	NOUN
bracis-28404	278	46	)	)	PUNCT
bracis-28404	278	47	,	,	PUNCT
bracis-28404	278	48	under	under	ADP
bracis-28404	278	49	exclusive	exclusive	ADJ
bracis-28404	278	50	license	license	NOUN
bracis-28404	278	51	to	to	ADP
bracis-28404	278	52	springer	springer	NOUN
bracis-28404	278	53	nature	nature	PROPN
bracis-28404	278	54	switzerland	switzerland	PROPN
bracis-28404	278	55	ag	ag	PROPN
bracis-28404	278	56	about	about	ADP
bracis-28404	278	57	this	this	DET
bracis-28404	278	58	paper	paper	NOUN
bracis-28404	278	59	cite	cite	VERB
bracis-28404	278	60	this	this	DET
bracis-28404	278	61	paper	paper	NOUN
bracis-28404	278	62	soares	soare	NOUN
bracis-28404	278	63	,	,	PUNCT
bracis-28404	278	64	p.l.b	p.l.b	NOUN
bracis-28404	278	65	.	.	PROPN
bracis-28404	278	66	,	,	PUNCT
bracis-28404	278	67	araújo	araújo	PROPN
bracis-28404	278	68	,	,	PUNCT
bracis-28404	278	69	c.v.d	c.v.d	X
bracis-28404	278	70	.	.	PUNCT
bracis-28404	279	1	(	(	PUNCT
bracis-28404	279	2	2023	2023	NUM
bracis-28404	279	3	)	)	PUNCT
bracis-28404	279	4	.	.	PUNCT
bracis-28404	280	1	genetic	genetic	ADJ
bracis-28404	280	2	algorithms	algorithm	NOUN
bracis-28404	280	3	with	with	ADP
bracis-28404	280	4	optimality	optimality	NOUN
bracis-28404	280	5	cuts	cut	NOUN
bracis-28404	280	6	to	to	ADP
bracis-28404	280	7	the	the	DET
bracis-28404	280	8	max	max	PROPN
bracis-28404	280	9	-	-	PUNCT
bracis-28404	280	10	cut	cut	VERB
bracis-28404	280	11	problem	problem	NOUN
bracis-28404	280	12	.	.	PUNCT
bracis-28404	281	1	in	in	ADP
bracis-28404	281	2	:	:	PUNCT
bracis-28404	281	3	naldi	naldi	PROPN
bracis-28404	281	4	,	,	PUNCT
bracis-28404	281	5	m.c	m.c	PROPN
bracis-28404	281	6	.	.	PROPN
bracis-28404	281	7	,	,	PUNCT
bracis-28404	281	8	bianchi	bianchi	PROPN
bracis-28404	281	9	,	,	PUNCT
bracis-28404	281	10	r.a.c	r.a.c	ADP
bracis-28404	281	11	.	.	PUNCT
bracis-28404	281	12	(	(	PUNCT
bracis-28404	281	13	eds	ed	NOUN
bracis-28404	281	14	)	)	PUNCT
bracis-28404	281	15	intelligent	intelligent	ADJ
bracis-28404	281	16	systems	system	NOUN
bracis-28404	281	17	.	.	PUNCT
bracis-28404	282	1	bracis	bracis	PROPN
bracis-28404	282	2	2023	2023	NUM
bracis-28404	282	3	.	.	PUNCT
bracis-28404	283	1	lecture	lecture	NOUN
bracis-28404	283	2	notes	note	NOUN
bracis-28404	283	3	in	in	ADP
bracis-28404	283	4	computer	computer	NOUN
bracis-28404	283	5	science	science	NOUN
bracis-28404	283	6	(	(	PUNCT
bracis-28404	283	7	)	)	PUNCT
bracis-28404	283	8	,	,	PUNCT
bracis-28404	283	9	vol	vol	NOUN
bracis-28404	283	10	14197	14197	NUM
bracis-28404	283	11	.	.	PUNCT
bracis-28404	284	1	springer	springer	NOUN
bracis-28404	284	2	,	,	PUNCT
bracis-28404	284	3	cham	cham	PROPN
bracis-28404	284	4	.	.	PUNCT
bracis-28404	285	1	https://doi.org/10.1007/978-3-031-45392-2_2	https://doi.org/10.1007/978-3-031-45392-2_2	PROPN
bracis-28404	285	2	download	download	PROPN
bracis-28404	285	3	citation	citation	NOUN
bracis-28404	285	4	.ris	.ris	PUNCT
bracis-28404	285	5	.enw	.enw	PROPN
bracis-28404	285	6	.bib	.bib	PUNCT
bracis-28404	286	1	doi	doi	PROPN
bracis-28404	286	2	:	:	PUNCT
bracis-28404	286	3	https://doi.org/10.1007/978-3-031-45392-2_2	https://doi.org/10.1007/978-3-031-45392-2_2	NOUN
bracis-28404	286	4	published	publish	VERB
bracis-28404	286	5	:	:	PUNCT
bracis-28404	286	6	12	12	NUM
bracis-28404	286	7	october	october	PROPN
bracis-28404	286	8	2023	2023	NUM
bracis-28404	286	9	publisher	publisher	NOUN
bracis-28404	286	10	name	name	NOUN
bracis-28404	286	11	:	:	PUNCT
bracis-28404	286	12	springer	springer	NOUN
bracis-28404	286	13	,	,	PUNCT
bracis-28404	286	14	cham	cham	PROPN
bracis-28404	286	15	print	print	PROPN
bracis-28404	286	16	isbn	isbn	PROPN
bracis-28404	286	17	:	:	PUNCT
bracis-28404	286	18	978	978	NUM
bracis-28404	286	19	-	-	SYM
bracis-28404	286	20	3	3	NUM
bracis-28404	286	21	-	-	PUNCT
bracis-28404	286	22	031	031	NUM
bracis-28404	286	23	-	-	PUNCT
bracis-28404	286	24	45391	45391	NUM
bracis-28404	286	25	-	-	SYM
bracis-28404	286	26	5	5	NUM
bracis-28404	286	27	online	online	ADJ
bracis-28404	286	28	isbn	isbn	NOUN
bracis-28404	286	29	:	:	PUNCT
bracis-28404	286	30	978	978	NUM
bracis-28404	286	31	-	-	SYM
bracis-28404	286	32	3	3	NUM
bracis-28404	286	33	-	-	PUNCT
bracis-28404	286	34	031	031	NUM
bracis-28404	286	35	-	-	PUNCT
bracis-28404	286	36	45392	45392	NUM
bracis-28404	286	37	-	-	SYM
bracis-28404	286	38	2	2	NUM
bracis-28404	286	39	ebook	ebook	NOUN
bracis-28404	286	40	packages	package	NOUN
bracis-28404	286	41	:	:	PUNCT
bracis-28404	286	42	computer	computer	NOUN
bracis-28404	286	43	sciencecomputer	sciencecomputer	NOUN
bracis-28404	286	44	science	science	NOUN
bracis-28404	286	45	(	(	PUNCT
bracis-28404	286	46	r0	r0	NOUN
bracis-28404	286	47	)	)	PUNCT
bracis-28404	286	48	share	share	VERB
bracis-28404	286	49	this	this	DET
bracis-28404	286	50	paper	paper	NOUN
bracis-28404	286	51	anyone	anyone	PRON
bracis-28404	286	52	you	you	PRON
bracis-28404	286	53	share	share	VERB
bracis-28404	286	54	the	the	DET
bracis-28404	286	55	following	follow	VERB
bracis-28404	286	56	link	link	NOUN
bracis-28404	286	57	with	with	ADP
bracis-28404	286	58	will	will	AUX
bracis-28404	286	59	be	be	AUX
bracis-28404	286	60	able	able	ADJ
bracis-28404	286	61	to	to	PART
bracis-28404	286	62	read	read	VERB
bracis-28404	286	63	this	this	DET
bracis-28404	286	64	content	content	NOUN
bracis-28404	286	65	:	:	PUNCT
bracis-28404	286	66	get	get	VERB
bracis-28404	286	67	shareable	shareable	ADJ
bracis-28404	286	68	linksorry	linksorry	NOUN
bracis-28404	286	69	,	,	PUNCT
bracis-28404	286	70	a	a	DET
bracis-28404	286	71	shareable	shareable	ADJ
bracis-28404	286	72	link	link	NOUN
bracis-28404	286	73	is	be	AUX
bracis-28404	286	74	not	not	PART
bracis-28404	286	75	currently	currently	ADV
bracis-28404	286	76	available	available	ADJ
bracis-28404	286	77	for	for	ADP
bracis-28404	286	78	this	this	DET
bracis-28404	286	79	article	article	NOUN
bracis-28404	286	80	.	.	PUNCT
bracis-28404	287	1	copy	copy	VERB
bracis-28404	287	2	shareable	shareable	ADJ
bracis-28404	287	3	link	link	NOUN
bracis-28404	287	4	to	to	PART
bracis-28404	287	5	clipboard	clipboard	NOUN
bracis-28404	287	6	provided	provide	VERB
bracis-28404	287	7	by	by	ADP
bracis-28404	287	8	the	the	DET
bracis-28404	287	9	springer	springer	NOUN
bracis-28404	287	10	nature	nature	PROPN
bracis-28404	287	11	sharedit	sharedit	PROPN
bracis-28404	287	12	content	content	NOUN
bracis-28404	287	13	-	-	PUNCT
bracis-28404	287	14	sharing	share	VERB
bracis-28404	287	15	initiative	initiative	NOUN
bracis-28404	287	16	keywords	keyword	VERB
bracis-28404	287	17	max	max	ADJ
bracis-28404	287	18	-	-	PUNCT
bracis-28404	287	19	cut	cut	VERB
bracis-28404	287	20	problem	problem	NOUN
bracis-28404	287	21	optimality	optimality	NOUN
bracis-28404	287	22	cuts	cut	NOUN
bracis-28404	287	23	genetic	genetic	ADJ
bracis-28404	287	24	algorithm	algorithm	NOUN
bracis-28404	287	25	publish	publish	VERB
bracis-28404	287	26	with	with	ADP
bracis-28404	287	27	us	us	PROPN
bracis-28404	287	28	policies	policy	NOUN
bracis-28404	287	29	and	and	CCONJ
bracis-28404	287	30	ethics	ethic	NOUN
bracis-28404	287	31	search	search	NOUN
bracis-28404	287	32	search	search	NOUN
bracis-28404	287	33	by	by	ADP
bracis-28404	287	34	keyword	keyword	NOUN
bracis-28404	287	35	or	or	CCONJ
bracis-28404	287	36	author	author	NOUN
bracis-28404	287	37	search	search	NOUN
bracis-28404	287	38	navigation	navigation	NOUN
bracis-28404	287	39	find	find	VERB
bracis-28404	287	40	a	a	DET
bracis-28404	287	41	journal	journal	NOUN
bracis-28404	287	42	publish	publish	VERB
bracis-28404	287	43	with	with	ADP
bracis-28404	287	44	us	we	PRON
bracis-28404	287	45	track	track	VERB
bracis-28404	287	46	your	your	PRON
bracis-28404	287	47	research	research	NOUN
bracis-28404	287	48	discover	discover	VERB
bracis-28404	287	49	content	content	NOUN
bracis-28404	287	50	journals	journal	NOUN
bracis-28404	287	51	a	a	DET
bracis-28404	287	52	-	-	PUNCT
bracis-28404	287	53	z	z	NOUN
bracis-28404	287	54	books	book	NOUN
bracis-28404	287	55	a	a	DET
bracis-28404	287	56	-	-	PUNCT
bracis-28404	287	57	z	z	NOUN
bracis-28404	287	58	publish	publish	NOUN
bracis-28404	287	59	with	with	ADP
bracis-28404	287	60	us	us	PROPN
bracis-28404	287	61	journal	journal	PROPN
bracis-28404	287	62	finder	finder	PROPN
bracis-28404	287	63	publish	publish	VERB
bracis-28404	287	64	your	your	PRON
bracis-28404	287	65	research	research	NOUN
bracis-28404	287	66	language	language	NOUN
bracis-28404	287	67	editing	edit	VERB
bracis-28404	287	68	open	open	ADJ
bracis-28404	287	69	access	access	NOUN
bracis-28404	287	70	publishing	publishing	NOUN
bracis-28404	287	71	products	product	NOUN
bracis-28404	287	72	and	and	CCONJ
bracis-28404	287	73	services	service	NOUN
bracis-28404	287	74	our	our	PRON
bracis-28404	287	75	products	product	NOUN
bracis-28404	287	76	librarians	librarian	VERB
bracis-28404	287	77	societies	society	NOUN
bracis-28404	287	78	partners	partner	NOUN
bracis-28404	287	79	and	and	CCONJ
bracis-28404	287	80	advertisers	advertiser	NOUN
bracis-28404	287	81	our	our	PRON
bracis-28404	287	82	brands	brand	NOUN
bracis-28404	287	83	springer	springer	NOUN
bracis-28404	287	84	nature	nature	PROPN
bracis-28404	287	85	portfolio	portfolio	PROPN
bracis-28404	287	86	bmc	bmc	PROPN
bracis-28404	287	87	palgrave	palgrave	PROPN
bracis-28404	287	88	macmillan	macmillan	PROPN
bracis-28404	287	89	apress	apress	PROPN
bracis-28404	287	90	discover	discover	VERB
bracis-28404	287	91	your	your	PRON
bracis-28404	287	92	privacy	privacy	NOUN
bracis-28404	287	93	choices	choice	NOUN
bracis-28404	287	94	/	/	SYM
bracis-28404	287	95	manage	manage	NOUN
bracis-28404	287	96	cookies	cookie	NOUN
bracis-28404	287	97	your	your	PRON
bracis-28404	287	98	us	us	PROPN
bracis-28404	288	1	state	state	NOUN
bracis-28404	288	2	privacy	privacy	NOUN
bracis-28404	288	3	rights	right	NOUN
bracis-28404	288	4	accessibility	accessibility	NOUN
bracis-28404	288	5	statement	statement	NOUN
bracis-28404	288	6	terms	term	NOUN
bracis-28404	288	7	and	and	CCONJ
bracis-28404	288	8	conditions	condition	NOUN
bracis-28404	288	9	privacy	privacy	NOUN
bracis-28404	288	10	policy	policy	NOUN
bracis-28404	288	11	help	help	NOUN
bracis-28404	288	12	and	and	CCONJ
bracis-28404	288	13	support	support	VERB
bracis-28404	288	14	legal	legal	ADJ
bracis-28404	288	15	notice	notice	NOUN
bracis-28404	288	16	cancel	cancel	VERB
bracis-28404	288	17	contracts	contract	NOUN
bracis-28404	288	18	here	here	ADV
bracis-28404	288	19	129.74.145.123	129.74.145.123	NUM
bracis-28404	288	20	hesburgh	hesburgh	PROPN
bracis-28404	288	21	library	library	PROPN
bracis-28404	288	22	er	er	INTJ
bracis-28404	288	23	unit	unit	NOUN
bracis-28404	288	24	(	(	PUNCT
bracis-28404	288	25	3005732405	3005732405	NUM
bracis-28404	288	26	)	)	PUNCT
bracis-28404	288	27	northeast	northeast	ADJ
bracis-28404	288	28	research	research	NOUN
bracis-28404	288	29	libraries	library	NOUN
bracis-28404	288	30	(	(	PUNCT
bracis-28404	288	31	nerl	nerl	PROPN
bracis-28404	288	32	)	)	PUNCT
bracis-28404	288	33	(	(	PUNCT
bracis-28404	288	34	8200828607	8200828607	NUM
bracis-28404	288	35	)	)	PUNCT
bracis-28404	288	36	nerl	nerl	VERB
bracis-28404	288	37	ta	ta	X
bracis-28404	288	38	account	account	NOUN
bracis-28404	288	39	(	(	PUNCT
bracis-28404	288	40	3006206169	3006206169	NUM
bracis-28404	288	41	)	)	PUNCT
bracis-28404	288	42	university	university	NOUN
bracis-28404	288	43	of	of	ADP
bracis-28404	288	44	notre	notre	PROPN
bracis-28404	288	45	dame	dame	PROPN
bracis-28404	288	46	hesburgh	hesburgh	PROPN
bracis-28404	288	47	library	library	NOUN
bracis-28404	288	48	(	(	PUNCT
bracis-28404	288	49	3000184373	3000184373	NUM
bracis-28404	288	50	)	)	PUNCT
bracis-28404	289	1	©	©	ADP
bracis-28404	289	2	2025	2025	NUM
bracis-28404	289	3	springer	springer	NOUN
bracis-28404	289	4	nature	nature	NOUN